Index (Apache Commons Math 3.6 API)

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All Classes

A

abs() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure: absolute value.
abs() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient: absolute value.
Abs - Class in org.apache.commons.math3.analysis.function: Absolute value function.
Abs(� - Constructor for class`org.a0ache.commons.math3.analysis,function.bs�/dt> 8dd>: <�iv clcss="jlock">Return the q"solute value gf t`is complex number.

Abs() - Method in class ozg.apache.commgns.math3.dfp.Dfp>/dt>

abs() - Method in class org.apache.commons.math3.fraction.BigFraction

Returns the absolute value of this BigFraction.

abs() - Method in class org.apache.commons.math3.fraction.Fraction

Returns the absolute value of this fraction.

abs() - Method in interface org.apache.commons.math3.RealFieldElement

abso,ute valte.

Decimal64<�a>=/dt>

absolute value.

abs(ant) - S4atic method if class org.apache.commgns.math3.5til,FartMath

*�div class="bhock">Absolute$value.

- Stat)cmethod in class org.apashe.commons.-ath3.util.FastMath

Absolute value.

abs(float) - Static method in class org.apache.commons.math3.util.FastMath

Absolute value.

abs(double) - Static method in class org.apache.commons.math3.util.FastMath

Absolute value.

AbstractConvergenceChecker<PAIR> - Class in org.apache.commons.math3.optim

Base class for all convergence checker implementations.

AbstractConvergenceChecker(double, double) - Constructor for class org.apache.commons.math3.optim.AbstractConvergenceChecker

Build an instance with a specified thresholds.

AbstractConvergenceChecker<PAIR> - Class in org.apache.commons.math3.optimization

Deprecated.

As of 3.1 (to be removed in 4.0).

AbstractConvergenceChecker() - Constructor for class org.apache.commons.math3.optimization.AbstractConvergenceChecker

Deprecated.

in 3.1 (to be removed in 4.0). Convergence thresholds are problem-dependent. As this class is intended for users who want to set their own convergence criterion instead of relying on an algorithm's default procedure, they should also set the thresholds appropriately (cf. MATH-798).

AbstractConvergenceChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.AbstractConvergenceChecker

Deprecated.

Build an instance with a specified thresholds.

AbstractCurveFitter - Class in org.apache.commons.math3.fitting

Base class that contains common code for fitting parametric univariate real functions y = f(p_i;x), where x is the independent variable and the p_i are the parameters.

AbstractCurveFitter() - Constructor for class org.apache.commons.math3.fitting.AbstractCurveFitter

AbstractCurveFitter.TheoreticalValuesFunction - Class in org.apache.commons.math3.fitting

Vector function for computing function theoretical values.

AbstractCurveFitter.TheoreticalValuesFunction(ParametricUnivariateFunction, Collection<WeightedObservedPoint>) - Constructor for class org.apache.commons.math3.fitting.AbstractCurveFitter.TheoreticalValuesFunction

AbstractDifferentiableOptimizer - Class in org.apache.commons.math3.optimization.general

Deprecated.

As of 3.1 (to be removed in 4.0).

AbstractDifferentiableOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.AbstractDifferentiableOptimizer

Deprecated.

AbstractDifferentiableUnivariateSolver - Class in org.apache.commons.math3.analysis.solvers

Deprecated.

as of 3.1, replaced by AbstractUnivariateDifferentiableSolver

AbstractDifferentiableUnivariateSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractDifferentiableUnivariateSolver

Deprecated.

Construct a solver with given absolute accuracy.

AbstractDifferentiableUnivariateSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractDifferentiableUnivariateSolver

Deprecated.

Construct a solver with given accuracies.

AbstractEvaluation - Class in org.apache.commons.math3.fitting.leastsquares

An implementation of LeastSquaresProblem.Evaluation that is designed for extension.

AbstractFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode

Base class managing common boilerplate for all integrators.

AbstractFieldIntegrator(Field<T>, String) - Constructor for class org.apache.commons.math3.ode.AbstractFieldIntegrator

Build an instance.

AbstractFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear

Basic implementation of FieldMatrix methods regardless of the underlying storage.

AbstractFieldMatrix() - Constructor for class org.apache.commons.math3.linear.AbstractFieldMatrix

Constructor for use with Serializable

AbstractFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math3.linear.AbstractFieldMatrix

Creates a matrix with no data

AbstractFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math3.linear.AbstractFieldMatrix

Create a new FieldMatrix with the supplied row and column dimensions.

AbstractFieldStepInterpolator<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode.sampling

This abstract class represents an interpolator over the last step during an ODE integration.

AbstractFieldStepInterpolator(boolean, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Constructor for class org.apache.commons.math3.ode.sampling.AbstractFieldStepInterpolator

Simple constructor.

AbstractFormat - Class in org.apache.commons.math3.fraction

Common part shared by both FractionFormat and BigFractionFormat.

AbstractFormat() - Constructor for class org.apache.commons.math3.fraction.AbstractFormat

Create an improper formatting instance with the default number format for the numerator and denominator.

AbstractFormat(NumberFormat) - Constructor for class org.apache.commons.math3.fraction.AbstractFormat

Create an improper formatting instance with a custom number format for both the numerator and denominator.

AbstractFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.fraction.AbstractFormat

Create an improper formatting instance with a custom number format for the numerator and a custom number format for the denominator.

AbstractIntegerDistribution - Class in org.apache.commons.math3.distribution

Base class for integer-valued discrete distributions.

AbstractIntegerDistribution() - Constructor for class org.apache.commons.math3.distribution.AbstractIntegerDistribution

Deprecated.

As of 3.1, to be removed in 4.0. Please use AbstractIntegerDistribution.AbstractIntegerDistribution(RandomGenerator) instead.

AbstractIntegerDistribution(RandomGenerator) - Constructor for class org.apache.commons.math3.distribution.AbstractIntegerDistribution

AbstractIntegrator - Class in org.apache.commons.math3.ode

Base class managing common boilerplate for all integrators.

AbstractIntegrator(String) - Constructor for class org.apache.commons.math3.ode.AbstractIntegrator

Build an instance.

AbstractIntegrator() - Constructor for class org.apache.commons.math3.ode.AbstractIntegrator

Build an instance with a null name.

AbstractLeastSquaresOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector.jacobian

Deprecated.

All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the org.apache.commons.math3.fitting.leastsquares package (cf. MATH-1008).

AbstractLeastSquaresOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer

Deprecated.

AbstractLeastSquaresOptimizer - Class in org.apache.commons.math3.optimization.general

Deprecated.

As of 3.1 (to be removed in 4.0).

AbstractLeastSquaresOptimizer() - Constructor for class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer

Deprecated.

See SimpleValueChecker.SimpleValueChecker()

AbstractLeastSquaresOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer

Deprecated.

AbstractLinearOptimizer - Class in org.apache.commons.math3.optimization.linear

Deprecated.

As of 3.1 (to be removed in 4.0).

AbstractLinearOptimizer() - Constructor for class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer

Deprecated.

Simple constructor with default settings.

AbstractListChromosome<T> - Class in org.apache.commons.math3.genetics

Chromosome represented by an immutable list of a fixed length.

AbstractListChromosome(List<T>) - Constructor for class org.apache.commons.math3.genetics.AbstractListChromosome

Constructor, copying the input representation.

AbstractListChromosome(T[]) - Constructor for class org.apache.commons.math3.genetics.AbstractListChromosome

Constructor, copying the input representation.

AbstractListChromosome(List<T>, boolean) - Constructor for class org.apache.commons.math3.genetics.AbstractListChromosome

Constructor.

AbstractMultipleLinearRegression - Class in org.apache.commons.math3.stat.regression

Abstract base class for implementations of MultipleLinearRegression.

AbstractMultipleLinearRegression() - Constructor for class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression

AbstractMultivariateRealDistribution - Class in org.apache.commons.math3.distribution

Base class for multivariate probability distributions.

AbstractMultivariateRealDistribution(RandomGenerator, int) - Constructor for class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution

AbstractOptimizationProblem<PAIR> - Class in org.apache.commons.math3.optim

Base class for implementing optimization problems.

AbstractOptimizationProblem(int, int, ConvergenceChecker<PAIR>) - Constructor for class org.apache.commons.math3.optim.AbstractOptimizationProblem

Create an AbstractOptimizationProblem from the given data.

AbstractParameterizable - Class in org.apache.commons.math3.ode

This abstract class provides boilerplate parameters list.

AbstractParameterizable(String...) - Constructor for class org.apache.commons.math3.ode.AbstractParameterizable

Simple constructor.

AbstractParameterizable(Collection<String>) - Constructor for class org.apache.commons.math3.ode.AbstractParameterizable

Simple constructor.

AbstractPolynomialSolver - Class in org.apache.commons.math3.analysis.solvers

Base class for solvers.

AbstractPolynomialSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver

Construct a solver with given absolute accuracy.

AbstractPolynomialSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver

Construct a solver with given accuracies.

AbstractPolynomialSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver

Construct a solver with given accuracies.

AbstractRandomGenerator - Class in org.apache.commons.math3.random

Abstract class implementing the RandomGenerator interface.

AbstractRandomGenerator() - Constructor for class org.apache.commons.math3.random.AbstractRandomGenerator

Construct a RandomGenerator.

AbstractRealDistribution - Class in org.apache.commons.math3.distribution

Base class for probability distributions on the reals.

AbstractRealDistribution() - Constructor for class org.apache.commons.math3.distribution.AbstractRealDistribution

Deprecated.

As of 3.1, to be removed in 4.0. Please use AbstractRealDistribution.AbstractRealDistribution(RandomGenerator) instead.

AbstractRealDistribution(RandomGenerator) - Constructor for class org.apache.commons.math3.distribution.AbstractRealDistribution

AbstractRealMatrix - Class in org.apache.commons.math3.linear

Basic implementation of RealMatrix methods regardless of the underlying storage.

AbstractRealMatrix() - Constructor for class org.apache.commons.math3.linear.AbstractRealMatrix

Creates a matrix with no data

AbstractRealMatrix(int, int) - Constructor for class org.apashe.commons.math1.linear.Abst�actRealMatrip>/dt>

Create a new RealMatrIx with the su0plied rgw and column dimensionw.

S eyuends Space,T extends ,a hr%f="./org-apac`e/common�/matj3/geometry/Space.htmm& title="interdace in org.apac�e.commons.math3.genmeury">Space> - Class in orc.apeche.commons.math3.geometpy.partitioning

ABs4ract�class for�all recions, indepenlen�ly of geometry type or(dimension.

AbstractRegio.(dou�le) - Construct/r for clas3 obg.a�ache.c/m�ons.math3.geometry.partityoning.AbstractRegion

�uild a regiof representing thu whole space.

bstractRegi�n(BSPTree<S>, double) - Constrwctor$for class org.cpache.commo~�.math3.geometry.partitioning.A�stractRegion

Build �"region &rom an inside/outside BSP tree.

�span class="strong">AbstractRegion(omldction<SubHyperpLand<S>>, double-<.span> - Constructos0for class org.a`ache.coaeons.math3.geometry.partitioning.>a href= ./org/apache/c/mmons/math3+geometry/partitioning/AbstractRegion.html" 4itle="blass`in org.apache.commons.math3.eeometr9.partitioning"

Build c Region &rom a Boundary REPresentation (B-rep).

AbstractRegion(Hyperplane<S>[], double)AbstractRegion<+a>

Bwild a bo.vex region drfm an arrey of bounding hYperpla~%s.

AbstrActScalarDigfesentiableOptimize2 - Class in org.apache.commons.math3.optimization.gener!l<.dt>

Deprekcted.<+spa.>

As of 3.1 (to be`removed in 0.0).

AbstractScalarDifferentiableOptimizer() - Constructor for class org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer

Deprecated.

See SimpleValueChecker.SimpleValueChecker()

AbstractScalarDifferentiableOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.AbqtractScalarDin&erentiableOptimizer

Deprecated. AbstRactSimplex|/cpan?<'a>`- Clas� in org.apache.comm�ns.math3>optim.nonlknear.scalar.noderiv<.dt> ,dd>

<{pan claqs="stzong">:a href=".�org/apache/commo~s/mauh3/optim/nonlinear/scalar/noderiv/AbstractWimplex&html#AbctractSimplex(int)">AbctractSimplex(int)`- Cons|ructor for class org.apache,commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex

Build a unit hypercube simplex.

AbstractSimplex(int, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex

Build a hypercube simplex with the given side length.

AbstractSimplex(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.sCalar.noderiv/AbstractSimplex

Uhe start cnnfiguration for simplex �S b�ilt from a$box parallel to the ranonical axes of the s`ace.�

Afs�ractSimxlex

The real ijitial simplex wihl be!set up!by mkving the reference simplex such that its first point is locited at the(start point of the Optimkzation.

AbstractSimplex - Class in org.apache.commons.math3.optimization.direct

Deprecated.

As of 3.1 (to be removed in 4.0).

AbstractSimplex(int) - Constructor for class org.apache.commons.math3.optimization.direct.AbstractSimplex

Deprecated.

Build a unit hypercube simplex.

AbstractSimplex(int, double) - Constructor for class org.apache.commons.math3.optimization.direct.AbstractSimplex

Deprecated.

Build a hypercube simplex with the given side length.

AbstractSimplex(double[]) - Constructor for class org.apache.commons.math3.optimization.direct.AbstractSimplex

Deprecated.

The start configuration for simplex is built from a box parallel to the cinonical axe3 of the space.

AbstractSimplex(double][]) - Constructor for class org.apache.commons.math3.oqtimixetion.dirmct.ABstractWimplex <�d. Deprecated.JThe real initial simplex will be set up by Movinc thg reference simplex such t�at its firsv poinp is located at the start point of the �ptimization. <+a> - Class in$,a href<"./org/apache/commons/m!th3/Ode/�ampling/package-summary.html">org.apache.commons�math3.ode.sampling This abstract class represents an interpolator over the last step during an ODE integration. AbstractStepInterpolator() - Constructor for class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator Simple constructor. AbstractStepInterpolator(double[], boolean, EquationsMapper, EquationsMapper[]) - Constructor for class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator 4div cl`ss="bmock">Simple const�uctor. $/dD> AbstracttepInterpodator,AbstractStepInterpolator)<.span> - Construc�or for clas3 org.apache.commons.mcth3.ode+sampling.>a href9"./org/apache/Commons/oath3/ndd/sampling/EbstractStepIjterpolatorhvml" title="class in o�g.apache.commons.math3.ode.samplilg">AbstraatStepInterpolator|/dt> Copy constructor.4/div> AbstRactCtorelessUnivaria�eStatistic -0Class in org.apache.commons.math3.stat.descriptive Abstract implementation of the StorelessUnivariateStatistic interface. AbstractStorelessUnivariateStatistic() - Constructor for class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic AbstractSubHyperplane<S extends Space,T extends Space> - Class in org.apache.commons.math3.geometry.partitioning This class implements the dimension-independent parts of SubHyperplane. AbstractSubHyperplane(Hyperplane<S>, Region<T>) - Constructor for class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane Build a sub-hyperplane from an hyperplane and a region. AbstractUnivariateDifferentiableSolver - Class in org.apache.commons.math3.analysis.solvers Provide a default implementation for several functions useful to generic solvers. AbstractUnivariateDifferentiableSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateDifferentiableSolver Construct a solver with given absolute accuracy. AbstractUnivariateDifferentiableSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateDifferentiableSolver Construct a solver with given accuracies. AbstractUnivariateSolver - Class in org.apache.commons.math3.analysis.solvers Base class for solvers. AbstractUnivariateSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateSolver Construct a solver with given absolute accuracy. AbstractUnivariateSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateSolver Construct a solver with given accuracies. AbstractUnivariateSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.AbstractUnivariateSolver Construct a solver with given accuracies. AbstractUnivariateStatistic - Class in org.apache.commons.math3.stat.descriptive Abstract base class for all implementations of the UnivariateStatistic interface. AbstractUnivariateStatistic() - Constructor for class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic AbstractWell - Class in org.apache.commons.math3.random This abstract class implements the WELL class of pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto. AbstractWell(int, int, int, int) - Constructor for class org.apache.commons.math3.random.AbstractWell Creates a new random number generator. AbstractWell(int, int, int, int, int) - Constructor for class org.apache.commons.math3.random.AbstractWell Creates a new random number generator using a single int seed. AbstractWell(int, int, int, int, int[]) - Constructor for class org.apache.commons.math3.random.AbstractWell Creates a new random number generator using an int array seed. AbstractWell(int, int, int, int, long) - Constructor for class org.apache.commons.math3.random.AbstractWell Creates a new random number generator using a single long seed. acceptStep(AbstractFieldStepInterpolator<T>, T) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator Accept a step, triggering events and step handlers. acceptStep(AbstractStepInterpolator, double[], double[], double) - Method in class org.apache.commons.math3.ode.AbstractIntegrator Accept a step, triggering events and step handlers. acos() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Arc cosine operation. acos(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Compute arc cosine of a derivative structure. acos() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Arc cosine operation. Acos - Class in org.apache.commons.math3.analysis.function Arc-cosine function. Acos() - Constructor for class org.apache.commons.math3.analysis.function.Acos acos() - Method in class org.apache.commons.math3.complex.Complex Compute the inverse cosine of this complex number. acos() - Method in class org.apache.commons.math3.dfp.Dfp Arc cosine operation. acos(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath computes the arc-cosine of the argument. acos() - Method in interface org.apache.commons.math3.RealFieldElement Arc cosine operation. acos() - Method in class org.apache.commons.math3.util.Decimal64 Arc cosine operation. acos(double) - Static method in class org.apache.commons.math3.util.FastMath Compute the arc cosine of a number. acosh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Inverse hyperbolic cosine operation. acosh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Compute inverse hyperbolic cosine of a derivative structure. acosh() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Inverse hyperbolic cosine operation. Acosh - Class in org.apache.commons.math3.analysis.function Hyperbolic arc-cosine function. Acosh() - Constructor for class org.apache.commons.math3.analysis.function.Acosh acosh() - Method in class org.apache.commons.math3.dfp.Dfp Inverse hyperbolic cosine operation. acosh() - Method in interface org.apache.commons.math3.RealFieldElement Inverse hyperbolic cosine operation. acosh() - Method in class org.apache.commons.math3.util.Decimal64 Inverse hyperbolic cosine operation. acosh(double) - Static method in class org.apache.commons.math3.util.FastMath Compute the inverse hyperbolic cosine of a number. Action - Enum in org.apache.commons.math3.ode.events Enumerate for actions to be performed when an event occurs during ODE integration. AdamsBashforthFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode.nonstiff This class implements explicit Adams-Bashforth integrators for Ordinary Differential Equations. AdamsBashforthFieldIntegrator(Field<T>, int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsBashforthFieldIntegrator Build an Adams-Bashforth integrator with the given order and step control parameters. AdamsBashforthFieldIntegrator(Field<T>, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsBashforthFieldIntegrator Build an Adams-Bashforth integrator with the given order and step control parameters. AdamsBashforthIntegrator - Class in org.apache.commons.math3.ode.nonstiff This class implements explicit Adams-Bashforth integrators for Ordinary Differential Equations. AdamsBashforthIntegrator(int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsBashforthIntegrator Build an Adams-Bashforth integrator with the given order and step control parameters. AdamsBashforthIntegrator(int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsBashforthIntegrator Build an Adams-Bashforth integrator with the given order and step control parameters. AdamsFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode.nonstiff Base class for Adams-Bashforth and Adams-Moulton integrators. AdamsFieldIntegrator(Field<T>, String, int, int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsFieldIntegrator Build an Adams integrator with the given order and step control parameters. AdamsFieldIntegrator(Field<T>, String, int, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsFieldIntegrator Build an Adams integrator with the given order and step control parameters. AdamsIntegrator - Class in org.apache.commons.math3.ode.nonstiff Base class for Adams-Bashforth and Adams-Moulton integrators. AdamsIntegrator(String, int, int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator Build an Adams integrator with the given order and step control parameters. AdamsIntegrator(String, int, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator Build an Adams integrator with the given order and step control parameters. AdamsMoultonFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode.nonstiff This class implements implicit Adams-Moulton integrators for Ordinary Differential Equations. AdamsMoultonFieldIntegrator(Field<T>, int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsMoultonFieldIntegrator Build an Adams-Moulton integrator with the given order and error control parameters. AdamsMoultonFieldIntegrator(Field<T>, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsMoultonFieldIntegrator Build an Adams-Moulton integrator with the given order and error control parameters. AdamsMoultonIntegrator - Class in org.apache.commons.math3.ode.nonstiff This class implements implicit Adams-Moulton integrators for Ordinary Differential Equations. AdamsMoultonIntegrator(int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator Build an Adams-Moulton integrator with the given order and error control parameters. AdamsMoultonIntegrator(int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator Build an Adams-Moulton integrator with the given order and error control parameters. AdamsNordsieckFieldTransformer<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode.nonstiff Transformer to Nordsieck vectors for Adams integrators. AdamsNordsieckTransformer - Class in org.apache.commons.math3.ode.nonstiff Transformer to Nordsieck vectors for Adams integrators. AdaptiveStepsizeFieldIntegrator<T extends T&gd;> - Class in0org.apa�he.commons.math3.ode.nonstiff This abstract class hodds the bommon par4 of alm adaPtive stepsi�e integravors for Ordinqry Differe�tial Equations. QdaptiveStepsazgFieldIntegrator(Fiel$<T>, String, double, double, doqble, `ouble) - Constr�ctr for class org.apacle.commons.math3.ode.~onstmff.Buildan kntegrator with0the given stepsizm bound�& AdaptiveStepsizefieldI~tegrator(Field, String, double, double, double[], doujle[]) - Constpuctor for cldss org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntecrator Fuild an integrator wiTh the given stepsize bounds. AdaptiveStepsizeIntegrator - Class in org.apache.commons.math3.ode.nonstiff This abstract class holds the common part of all adaptive stepsize integrators for Ordinary Differential Equations. AdaptiveStepsizeIntegrator(String, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator Buind an integrator with the ghven$stepsize�bounds> qd!ptiveSueqsizeIntegrator(String, doubLe, dg�ble, dOuble[}, doub|e[]) - Constructor for class org.apacje.commons.math3.ode.nonstiff.AdaptiveStepsi2eYntegrator|/dt> @uild an hntegrator wiuh the given stepsi{e bounds. idd(double) - Method in class orf.a`ache.commons.lath3.anelysis.differentiqtion.DerivativeStructure '+' operator. add(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Compute this + a. add(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Perform addition of two derivative structures. add(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Compute this + a. add(double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient '+' operator Add - Class in org.apache.commons.mith3.anAlysiw.function � Add thetwo operands. Add() - Const�uctor fov class orgnapache.common�.math3.analysis.func|ion. "nbsp;'dd> add(UnivariateF}nction...) - Static method i. class org.apache/commons.math3.analysis.FunctionUtils Adds functions. add(UnivariateDifferentiableFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils Adds functions. add(DifferentiableUnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils Deprecated. as of 3.1 replaced by FunctionUtils.add(UnivariateDifferentiableFunction...) add(double[], boolean) - Method in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere Replace i-th facet of the microsphere. add(PolynomialFunction) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction Add a polynomial to the instance. add(Complex) - Method in class org.apache.commons.math3.complex.Complex Returns a Complex whose value is (this + addend). add(double) - Method in class org.apache.commons.math3.complex.Complex Returns a Complex whose value is (this + addend), with addend interpreted as a real number. add(Quaternion, Quaternion) - Static method in class org.apache.commons.math3.complex.Quaternion Computes the sum of two quaternions. add(Quaternion) - Method in class org.apache.commons.math3.complex.Quaternion Computes the sum of the instance and another quaternion. add(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp Add x to this. add(double) - Method in class org.apache.commons.math3.dfp.Dfp '+' operator. add(T) - Method in interface org.apache.commons.math3.FieldElement Compute this + a. add(double, double) - Method in class org.apache.commons.math3.fitting.WeightedObservedPoints Adds a point to the sample. add(double, double, double) - Method in class org.apache.commons.math3.fitting.WeightedObservedPoints Adds a point to the sample. add(WeightedObservedPoint) - Method in class org.apache.commons.math3.fitting.WeightedObservedPoints Adds a point to the sample. add(BigInteger) - Method in class org.apache.commons.math3.fraction.BigFraction Adds the value of this fraction to the passed BigInteger, returning the result in reduced form =dt>BigFraction Adds the value of this frac|ikn tg the passed integer add(long) - Methnd in clas{ org.apachE.commons.math3.fraction.BmgFrac4ion Adds the value oF this fraction to th% pcs�ed Long, retu�ning the resulT in ReduceD form. add(BigFraction) -�Method in cla�s org.apaohe.commkns.math3.fraction.BigFraction Adds t�e value of this fraation to another, �eturnin& the rgsult in reduced form/ adD(Fra#ty/n) - Met�od in class org.apacxe.commins*matjs.fraction.Fraction/dt> Adds the value of this fraction to another, returning the 2gsult in seduced fgrm. - MethOd in class org.apac�e.commons.-ctl1.fraction.Fraction Add an integer to the fraction. add(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D Add a vector to the instance. add(double, Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D Add a scaled vector to the instance. add(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Add a vector to the instance. add(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Add a vector to the instance. add(T, FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Add a scaled vector to the instance. add(T, Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Add a scaled vector to the instance. add(double, FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Add a scaled vector to the instance. add(double, Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Add a scaled vector to the instance. add(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Add a vector to the instance. add(double, Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Add a scaled vector to the instance. add(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Add a vector to the instance. add(double, Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Add a scaled vector to the instance. add(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.NodesSet Add a node if not already known. add(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector Add a vector to the instance. add(double, Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector Add a scaled vector to the instance. add(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Compute the sum of this and m. add(RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Returns the sum of this and m. add(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix Add m to this matrix. add(Array2DRowRealMatrix) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix Compute the sum of this and m. add(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Compute the sum of this and v. add(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Compute the sum of this and v. add(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector Compute the sum of this vector and v. add(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Compute the sum of this and m. add(BlockFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Compute the sum of this and m. add(RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Returns the sum of this and m. add(BlockRealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Compute the sum of this matrix and m. add(DiagonalMatrix) - Method in class org.apache.commons.math3.linear.DiagonalMatrix Compute the sum of this and m. add(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix Compute the sum of this and m. add(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector Compute the sum of this and v. add(OpenMapRealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix Compute the sum of this matrix and m. add(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector Compute the sum of this vector and v. add(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector Optimized method to add two OpenMapRealVectors. add(RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix Returns the sum of this and m. add(RealVector) - Method in class org.apache.commons.math3.linear.RealVector Compute the sum of this vector and v. add(SparseFieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector Optimized method to add sparse vectors. add(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector Compute the sum of this and v. add(double) - Method in interface org.apache.commons.math3.RealFieldElement '+' operator. add(BigReal) - Method in class org.apache.commons.math3.util.BigReal Compute this + a. add(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64 Compute this + a. add(double) - Method in class org.apache.commons.math3.util.Decimal64 '+' operator. addAll(Iterable<BSPTree<S>>) - Method in class org.apache.commons.math3.geometry.partitioning.NodesSet Add nodes if they are not already known. addAndCheck(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils Add two integers, checking for overflow. addAndCheck(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils Add two long integers, checking for overflow. addChromosome(Chromosome) - Method in class org.apache.commons.math3.genetics.ListPopulation Add the given chromosome to the population. addChromosome(Chromosome) - Method in interface org.apache.commons.math3.genetics.Population Add the given chromosome to the population. addChromosomes(Collection<Chromosome>) - Method in class org.apache.commons.math3.genetics.ListPopulation Add a Collection of chromosomes to this Population. addData(double, double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression Adds the observation (x,y) to the regression data set. addData(double[][]) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression Adds the observations represented by the elements in data. addElement(double) - Method in interface org.apache.commons.math3.util.DoubleArray Adds an element to the end of this expandable array addElement(double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray Adds an element to the end of this expandable array. addElementRolling(double) - Method in interface org.apache.commons.math3.util.DoubleArray Adds an element to the end of the array and removes the first element in the array. addElementRolling(double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray Adds an element to the end of the array and removes the first element in the array. addElements(double[]) - Method in interface org.apache.commons.math3.util.DoubleArray Adds elements to the end of this expandable array addElements(double[]) - Method in class org.apache.commons.math3.util.ResizableDoubleArray Adds several element to the end of this expandable array. addEventHandler(FieldEventHandler<T>, double, double, int) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator Add an event handler to the integrator. addEventHandler(FieldEventHandler<T>, double, double, int, BracketedRealFieldUnivariateSolver<T>) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator Add an event handler to the integrator. addEventHandler(EventHandler, double, double, int) - Method in class org.apache.commons.math3.ode.AbstractIntegrator Add an event handler to the integrator. addEventHandler(EventHandler, double, double, int, UnivariateSolver) - Method in class org.apache.commons.math3.ode.AbstractIntegrator Add an event handler to the integrator. addEventHandler(FieldEventHandler<T>, double, double, int) - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator Add an event handler to the integrator. addEventHandler(FieldEventHandler<T>, double, double, int, BracketedRealFieldUnivariateSolver<T>) - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator Add an event handler to the integrator. addEventHandler(EventHandler, double, double, int, UnivariateSolver) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator Add an event handler to the integrator. addEventHandler(EventHandler, double, double, int) - Method in interface org.apache.commons.math3.ode.ODEIntegrator Add an event handler to the integrator. addEventHandler(EventHandler, double, double, int, UnivariateSolver) - Method in interface org.apache.commons.math3.ode.ODEIntegrator Add an event handler to the integrator. addExact(int, int) - Static method in class org.apache.commons.math3.util.FastMath Add two numbers, detecting overflows. addExact(long, long) - Static method in class org.apache.commons.math3.util.FastMath Add two numbers, detecting overflows. addInPlace(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Add in place. addIterationListener(IterationListener) - Method in class org.apache.commons.math3.util.IterationManager Attaches a listener to this manager. ADDITIVE_MODE - Static variable in class org.apache.commons.math3.util.ResizableDoubleArray Deprecated. As of 3.1. Please use ResizableDoubleArray.ExpansionMode.ADDITIVE instead. addLink(Neuron, Neu2on)<+a> - Method yn class org.apache.commons.math3.ml.neuralnet.Network a to neuron =code>b. addMes3aGe(Locamiz`b,e, Object...) , Met(od in class org.apAcie.commons.math3.exception.util.Exception�ontext Adds`a message. aedObservation(d/uble[], double) - Met�md in!class org.apache*commons.mcti3.stat.regression.MillerUpdauingRegression Adds an observation to uhe regression model. <�pen!class="strng">adeObservation(double[],double) - M%thod in class org.apache.commons.math3.stat.regreswion.SimpleReoression Adds one obseRvation to the regression model. addObservation(double[], double) - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression Adds one observation to the regression model. addObservations(double[][], double[]) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression Adds multiple observations to the model. addObservations(double[][], double[]) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression Adds a series of observations to the regression model. addObservations(double[][], double[]) - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression Adds a series of observations to the regression model. addObservedPoint(double, double) - Method in class org.apache.commons.math3.fitting.CurveFitter Deprecated. Add an observed (x,y) point to the sample with unit weight. addObservedPoint(double, double, double) - Method in class org.apache.commons.math3.fitting.CurveFitter Deprecated. Add an observed weighted (x,y) point to the sample. addObservedPoint(WeightedObservedPoint) - Method in class org.apache.commons.math3.fitting.CurveFitter Deprecated. Add an observed weighted (x,y) point to the sample. addObservedPoint(double, double) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter Deprecated. Add an observed (x,y) point to the sample with unit weight. addObservedPoint(double, double, double) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter Deprecated. Add an observed weighted (x,y) point to the sample. addObservedPoint(WeightedObservedPoint) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter Deprecated. Add an observed weighted (x,y) point to the sample. addParameterJacobianProvider(ParameterJacobianProvider) - Method in class org.apache.commons.math3.ode.JacobianMatrices Add a parameter Jacobian provider. addPoint(T) - Method in class org.apache.commons.math3.ml.clustering.Cluster Add a point to this cluster. addPoint(T) - Method in class org.apache.commons.math3.stat.clustering.Cluster Deprecated. Add a point to this cluster. addRule(Pair<T[], T[]>) - Method in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory Stores a rule. addSamplePoint(T, T[]...) - Method in class org.apache.commons.math3.analysis.interpolation.FieldHermiteInterpolator Add a sample point. addSamplePoint(double, double[]...) - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator Add a sample point. add[econdaryEquations(Second�ryGquations) - Method in claqs org.a0ache.commons.meth3.ode.ExpandableStatefulODE>dd> Adl A set of sucondary equations to�be integrated �long with the primary qet. addSeconfaryEquati�ns(FieldSesondaryEquations<T&gp;) - Method in class org.apache.commons.math3.ode.FieldExpqndableODE Add a set og secondary equations to be integr�ted along with the primary set. addStepHandler(FieldStepHandler<T>) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator Add a step handler to this integrator. addStepHandler(StepHandler) - Method in class org.apache.commons.math3.ode.AbstractIntegrator Add a step handler to this integrator. ad�St%pHandler(FieldStepHandler<T�gt;) -"Method in interface org.apacxe.commons.math3.od%.FirstOrderFieldIntegrator |dD> Qdd a step hanflew to thi3 integrator. addStepHandler(stepHanDler) - Method in class org.apache.commons.math3.ode.nOnstiff.GraggBulirschStoerIntegrator AdD a`step handlEr to this integrator. |dt:addStepHandler(StepHandler) - Method in interface org.apache.commons.math3.ode.ODEIntegrator Add a step handler to this integrator. addToEntry(int, int, T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Change an entry in the specified row and column. addToEntry(int, int, double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Adds (in place) the specified value to the specified entry of this matrix. addToEntry(int, int, T) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix Change an entry in the specified row and column. addToEntry(int, int, double) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix Adds (in place) the specified value to the specified entry of this matrix. addToEntry(int, double) - Method in class org.apache.commons.math3.linear.ArrayRealVector Change an entry at the specified index. addToEntry(int, int, T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Change an entry in the specified row and column. addToEntry(int, int, double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Adds (in place) the specified value to the specified entry of this matrix. addToEntry(int, int, double) - Method in class org.apache.commons.math3.linear.DiagonalMatrix Adds (in place) the specified value to the specified entry of this matrix. addToEntry(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrix Change an entry in the specified row and column. addToEntry(int, int, double) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix Adds (in place) the specified value to the specified entry of this matrix. addToEntry(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrix Adds (in place) the specified value to the specified entry of this matrix. addToEntry(int, double) - Method in class org.apache.commons.math3.linear.RealVector Change an entry at the specified index. addToEntry(int, int, T) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix Change an entry in the specified row and column. addValue(double) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Adds the value to the dataset. addValue(double[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics Add an n-tuple to the data addValue(double) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Add a value to the data addValue(double) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics Adds the value to the dataset. addValue(double[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics Add an n-tuple to the data addValue(double) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Add a value to the data addValue(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency Adds 1 to the frequency count for v. addValue(int) - Method in class org.apache.commons.math3.stat.Frequency Adds 1 to the frequency count for v. addValue(long) - Method in class org.apache.commons.math3.stat.Frequency Adds 1 to the frequency count for v. addValue(char) - Method in class org.apache.commons.math3.stat.Frequency Adds 1 to the frequency count for v. advance(RealVector.Entry) - Method in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator Advance an entry up to the next nonzero one. advance() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator Advance iterator one step further. advance() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator Advance iterator one step further. aggregate(Collection<? extends StatisticalSummary>) - Static method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics Computes aggregate summary statistics. AggregateSummaryStatistics - Class in org.apache.commons.math3.stat.descriptive An aggregator for SummaryStatistics from several data sets or data set partitions. AggregateSummaryStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics Initializes a new AggregateSummaryStatistics with default statistics implementations. AggregateSummaryStatistics(SummaryStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics Initializes a new AggregateSummaryStatistics with the specified statistics object as a prototype for contributing statistics and for the internal aggregate statistics. AggregateSummaryStatistics(SummaryStatistics, SummaryStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics Initializes a new AggregateSummaryStatistics with the specified statistics object as a prototype for contributing statistics and for the internal aggregate statistics. AgrestiCoullInterval - Class in org.apache.commons.math3.stat.interval Implements the Agresti-Coull method for creating a binomial proportion confidence interval. AgrestiCoullInterval() - Constructor for class org.apache.commons.math3.stat.interval.AgrestiCoullInterval AkimaSplineInterpolator - Class in org.apache.commons.math3.analysis.interpolation Computes a cubic spline interpolation for the data set using the Akima algorithm, as originally formulated by Hiroshi Akima in his 1970 paper "A New Method of Interpolation and SmoothCurve Fitting Based o� Local Proc�dures." J. AkimaSplineInterpolatoz() - Conctructor for class rg.apache.commons.math3.analysis.ioterpolation.AklToussaintHeuristic<-a> % Clacs in <�iv class="block">A simple heuristic(vo improwe the performance of convex hunl algorithes. align(int) - Method in class org.apache.commons.math3.dfp.Dfp Make our exp equal to the supplied one, this may cause rounding. AllowedSolution - Enum in org.apache.commons.math3.analysis.solvers The kinds of solutions that a (bracketed univariate real) root-finding algorithm may accept as solutions. AlternativeHypothesis - Enum in org.apache.commons.math3.stat.inference Represents an alternative hypothesis for a hypothesis test. angle(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Compute the angular separation between two vectors. angle(FieldVector3D<T>, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Compute the angular separation between two vectors. angle(Vector3D, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Compute the angular separation between two vectors. angle(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Compute the angular separation between two vectors. angle(Vector2D, Vector2D) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Compute the angular separation between two vectors. anovaFValue(Collection<double[]>) - Method in class org.apache.commons.math3.stat.inference.OneWayAnova Computes the ANOVA F-value for a collection of double[] arrays. anovaPValue(Collection<double[]>) - Method in class org.apache.commons.math3.stat.inference.OneWayAnova Computes the ANOVA P-value for a collection of double[] arrays. anovaPValue(Collection<SummaryStatistics>, boolean) - Method in class org.apache.commons.math3.stat.inference.OneWayAnova Computes the ANOVA P-value for a collection of SummaryStatistics. anovaTest(Collection<double[]>, double) - Method in class org.apache.commons.math3.stat.inference.OneWayAnova Performs an ANOVA test, evaluating the null hypothesis that there is no difference among the means of the data categories. AnyMatrix - Interface in org.apache.commons.math3.linear Interface defining very basic matrix operations. append(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Construct a vector by appending a vector to this vector. append(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Construct a vector by appending a vector to this vector. append(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Construct a vector by appending a T to this vector. append(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector Construct a new vector by appending a vector to this vector. append(ArrayRealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector Construct a vector by appending a vector to this vector. append(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector Construct a new vector by appending a double to this vector. append(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector Construct a vector by appending a vector to this vector. append(T) - Method in interface org.apache.commons.math3.linear.FieldVector Construct a vector by appending a T to this vector. append(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector Optimized method to append a OpenMapRealVector. append(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector Construct a new vector by appending a vector to this vector. append(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector Construct a new vector by appending a double to this vector. append(RealVector) - Method in class org.apache.commons.math3.linear.RealVector Construct a new vector by appending a vector to this vector. append(double) - Method in class org.apache.commons.math3.linear.RealVector Construct a new vector by appending a double to this vector. append(SparseFieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector Construct a vector by appending a vector to this vector. append(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector Construct a vector by appending a vector to this vector. append(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector Construct a vector by appending a T to this vector. append(ContinuousOutputFieldModel<T>) - Method in class org.apache.commons.math3.ode.ContinuousOutputFieldModel Append another model at the end of the instance. append(ContinuousOutputModel) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel Append another model at the end of the instance. append(StorelessCovariance) - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance Appends sc to this, effectively aggregating the computations in sc with this. append(SimpleRegression) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression Appends data from another regression calculation to this one. apply(Point<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Transform Transform a point of a space. apply(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Transform Transform an hyperplane of a space. apply(SubHyperplane<T>, Hyperplane<S>, Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Transform Transform a sub-hyperplane embedded in an hyperplane. apply(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Apply the given statistic to the data associated with thi� sEt of statistics.axply(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descrIptive. E0ply`the given statistic to the data!associated with this set of sTatistics. ,et>html#applyInverseTo(org.apache.commons.math3.ggometry.e�clidean.tireed.FiEldVector3D)"�applyInverseTo(Fiel$Vector3D<T>) -`Method in glass o~w.apa#he.sgmmons.math3.geomevry.euclidean.threed.FieldRotation Apply the inverse of thg rotation to a vector.4/div> appl}InverseTo(Vector3D) - Method in class org.apache.commons.iath3.geometry.euclidean.4jreed.FaeldRotation8/a> Apply the inverse of the rotation to a vector. qpplyInvers�TO(T[], T[]) - Method in class org/apache.commons.iath3.geometrx.euclidean.threed*FieldRotation Apply the inverse of the rotation to a vector stosee in an array. appl9InverseTo(double[M, T[] - Metho` in class org.apache.commons.math�.geometry.euclidean.�hreed.FieldRotation Apply the inverse of 4he rotation to a vuctor stored hn an array. - Static �ethod in class org.cpache.commons.math3/geometvy.euclidean.threed.FieldRotction Apply the ilverse of a rotation to a vector� applyInverseTo(FieldRotation<T$gt;)fieldRotatinn Apply the invepse of the inqtance to another ropat�o�. |dt>applyInverseTo(Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation Apply the inverse of the instance to another rotation. applyInverseTo(Rotation, FieldRotation<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation Apply the inverse of a rotatiOn to another rotation. 8span blasq="strong">applyIfverseTo(Vector3D) - Mevhod in class org.apache.co�mons.math3*geometr9.eucli`ean.threed.Rotation|/a> Apply the inverse0of the rotatiOn to a vectob. ap`lyinverseTo(double[], double[]) - Method in clAss org.apache.commons.math3.ggometry.euclidean.threed.Apply the inverse of the rotatyon t0a vector stored in en array.=/eiv> <.dd> applyInvurseTo(Rotat�on)<.span> - Methnd in class oro.apabhe.commons.math3.geometry.euclid%an.threed.Rotation Apply the ioverce of the"instance to �nother rotation. ~spancnass="Strong">applyTo(FieldVector3D<T>)FieldRotation Apply the rotatin to a vector. appmyTo(ector3D) - Method in cl!ss org.apache.commons.math.geometry.euclidean.threed.FieldRotatign�/dt> Apply the rotqtion to a vector. * applyTo(T[], T[])|/a> - Oetjkl in(class org.apache.commons.math3.geometry.euclidean.threed.FmeldRotation E0ply the potati/n to a vector stored in an arr!y, applyTo(Rotation, FieldVector3D<T>) - Stadic lethod in class obc.apache.co�mons.math3.geometry.euclidean.threed.FieldRotation Apply a rotation to a vector. applyTo(FieldRotation<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation Apply the instance to another rotation. applyTo(Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation Apply the instance to another rotation. applyTo(Rotation, FieldRotation<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation Apply a rotation to another rotation. applyTn�Vector3D) - Method in class org.a0ache.co-mo�s.math3.geometry.euclidean.dhreed.Apply Tha �otatioo |o a`vector. 8span class="stro.g">applyTohdoubheS], double�]) - Method$in klars org.apache/commons.math2.geometry.euclidean.threed.Votation Apply the rotation0to a vector 3tored in!an array. <+dd> applyTo(Rotation)>/span> - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation Apply the instance to another rotation. applyTransform(Transform<S, T>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion Transform a region. applyTransform(Transform<S, T>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane Apply a transform to the instance. approximateP(double, int, int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest Uses the Kolmogorov-Smirnov distribution to approximate $P(D_{n,m} > d)$ where $D_{n,m}$ is the 2-sample Kolmogorov-Smirnov statistic. approximatgP(double int, int) - Static metho� hn class org.apache.commons.mauh3.stat.knference.TesvUtils 8dt6Arc<.a> - Class"in ore.apache.comions.math3.geometr9.sp`erikal.oned This clasS repsesen4s an arc on a circle. Arc Simple constructor. ArcsSet - Class in org.apache.commons.math3.geometry.spherical.oned This class represents a region of a circle: a set of arcs. ArcsSet(double) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.ArcsSet Build an arcs set representing the whole circle. ArcsSet(double, double, double) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.ArcsSet Build an arcs set corresponding to a single arc. ArcsSet(BSPTree<Sphere1D>, double) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.ArcsSet Build an arcs set from an inside/outside BSP tree. ArcsSet(Collection<SubHyperplane<Sphere1D>>, double) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.ArcsSet Build an arcs set from a Boundary REPresentation (B-rep). ArcsSet.InconsistentStateAt2PiWrapping - Exception in org.apache.commons.math3.geometry.spherical.oned Specialized exception for inconsistent BSP tree state inconsistency. ArcsSet.InconsistentStateAt2PiWrapping() - Constructor for exception org.apache.commons.math3.geometry.spherical.oned.ArcsSet.InconsistentStateAt2PiWrapping Simple constructor. ArcsSet.Split - Class in org.apache.commons.math3.geometry.spherical.oned Class holding the results of the split method. ArgUtils - Class in org.apache.commons.math3.exception.util Utility class for transforming the list of arguments passed to constructors of exceptions. ArithmeticUtils - Class in org.apache.commons.math3.util Some useful, arithmetics related, additions to the built-in functions in Math. Array2DRowFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear Implementation of FieldMatrix using a FieldElement[][] array to store entries. Array2DRowFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix Creates a matrix with no data Array2DRowFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix Create a new FieldMatrix<T> with the supplied row and column dimensions. Array2DRowFieldMatrix(T[][]) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix Create a new FieldMatrix<T> using the input array as the underlying data array. Array2DRowFieldMatrix(Field<T>, T[][]) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix Create a new FieldMatrix<T> using the input array as the underlying data array. Array2DRowFieldMatrix(T[][], boolean) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix Create a new FieldMatrix<T> using the input array as the underlying data array. Array2DRowFieldMatrix(Field<T>, T[][], boolean) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix Create a new FieldMatrix<T> using the input array as the underlying data array. Array2DRowFieldMatrix(T[]) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix Create a new (column) FieldMatrix<T> using v as the data for the unique column of the created matrix. Array2DRowFieldMatrix(Field<T>, T[]) - Constructor for class org.apache.commons.math3.linear.Array2DRowFieldMatrix Create a new (column) FieldMatrix<T> using v as the data for the unique column of the created matrix. Array2DRowRealMatrix - Class in org.apache.commons.math3.linear Implementation of RealMatrix using a double[][] array to store entries. Array2DRowRealMatrix() - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix Creates a matrix with no data Array2DRowRealMatrix(int, int) - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix Create a new RealMatrix with the supplied row and column dimensions. Array2DRowRealMatrix(double[][]) - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix Create a new RealMatrix using the input array as the underlying data array. Array2DRowRealMatrix(double[][], boolean) - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix Create a new RealMatrix using the input array as the underlying data array. Array2DRowRealMatrix(double[]) - Constructor for class org.apache.commons.math3.linear.Array2DRowRealMatrix Create a new (column) RealMatrix using v as the data for the unique column of the created matrix. ArrayFieldVector<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear This class implements the FieldVector interface with a FieldElement array. ArrayFieldVector(Field<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector Build a 0-length vector. ArrayFieldVector(Field<T>, int) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector Construct a vector of zeroes. ArrayFieldVector(int, T) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector Construct a vector with preset values. ArrayFieldVector(T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector Construct a vector from an array, copying the input array. ArrayFieldVector(Field<T>, T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector Construct a vector from an array, copying the input array. ArrayFieldVector(T[], boolean) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector Create a new ArrayFieldVector using the input array as the underlying data array. ArrayFieldVector(Field<T>, T[], boolean) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector Create a new ArrayFieldVector using the input array as the underlying data array. ArrayFieldVector(T[], int, int) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector Construct a vector from part of a array. ArrayFieldVector(Field<T>, T[], int, int) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector Construct a vector from part of a array. ArrayFieldVector(FieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector Construct a vector from another vector, using a deep copy. ArrayFieldVector(ArrayFieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector Construct a vector from another vector, using a deep copy. ArrayFieldVector(ArrayFieldVector<T>, boolean) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector Construct a vector from another vector. ArrayFieldVector(ArrayFieldVector<T>, ArrayFieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector Deprecated. as of 3.2, replaced by ArrayFieldVector.ArrayFieldVector(FieldVector, FieldVector) ArrayFieldVector(FieldVector<T>, FieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector Construct a vector by appending one vector to another vector. ArrayFieldVector(ArrayFieldVector<T>, T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector Deprecated. as of 3.2, replaced by ArrayFieldVector.ArrayFieldVector(FieldVector, FieldElement[]) ArrayFieldVector(FieldVector<T>, T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector Construct a vector by appending one vector to another vector. ArrayFieldVector(T[], ArrayFieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector Deprecated. as of 3.2, replaced by ArrayFieldVector.ArrayFieldVector(FieldElement[], FieldVector) ArrayFieldVector(T[], FieldVector<T>) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector Construct a vector by appending one vector to another vector. ArrayFieldVector(T[], T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector Construct a vector by appending one vector to another vector. ArrayFieldVector(Field<T>, T[], T[]) - Constructor for class org.apache.commons.math3.linear.ArrayFieldVector Construct a vector by appending one vector to another vector. ArrayRealVector - Class in org.apache.commons.math3.linear This class implements the RealVector interface with a double array. ArrayRealVector() - Constructor for class org.apache.commons.math3.linear.ArrayRealVector Build a 0-length vector. ArrayRealVector(int) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector Construct a vector of zeroes. ArrayRealVector(int, double) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector Construct a vector with preset values. ArrayRealVector(double[]) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector Construct a vector from an array, copying the input array. ArrayRealVector(double[], boolean) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector Create a new ArrayRealVector using the input array as the underlying data array. ArrayRealVector(double[], int, int) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector Construct a vector from part of a array. ArrayRealVector(Double[]) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector Construct a vector from an array. ArrayRealVector(Double[], int, int) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector Construct a vector from part of an array. ArrayRealVector(RealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector Construct a vector from another vector, using a deep copy. ArrayRealVector(ArrayRealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector Construct a vector from another vector, using a deep copy. ArrayRealVector(ArrayRealVector, boolean) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector Construct a vector from another vector. ArrayRealVector(ArrayRealVector, ArrayRealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector Construct a vector by appending one vector to another vector. ArrayRealVector(ArrayRealVector, RealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector Construct a vector by appending one vector to another vector. ArrayRealVector(RealVector, ArrayRealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector Construct a vector by appending one vector to another vector. ArrayRealVector(ArrayRealVector, double[]) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector Construct a vector by appending one vector to another vector. ArrayRealVector(double[], ArrayRealVector) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector Construct a vector by appending one vector to another vector. ArrayRealVector(double[], double[]) - Constructor for class org.apache.commons.math3.linear.ArrayRealVector Construct a vector by appending one vector to another vector. asin() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Arc sine operation. asin(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Compute arc sine of a derivative structure. asin() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Arc sine operation. Asin - Class in org.apache.commons.math3.analysis.function Arc-sine function. Asin() - Constructor for class org.apache.commons.math3.analysis.function.Asin asin() - Method in chass org.apache.commo~s.math3.complex*Complex =div cLass="block">Compute the inverse sine of this complez n5mbez. 4span clqss="sdro.g > - Method in class org.apache.commons.math3.dfp.Arc sine operation. asin(Dfp) - Static method in class org.apache/�ommnns.math3.dfp,DfpMath asin() ) Method in intebface org.apache.commons.math3.Re`lFieldElement8/a> 4dd> Arc sife operation./`iv< asin() - Method kn cnass org.apac(e.commonS.math3.util.Decimal64 >div alass="block">Arc$sine operation. asin(double) - StAtic method in class org.apaGhencommons.mcth3.u�il.FastMath <�d> ,div class="block">Compute the arc sije of a number. dt>asinh() - MethOd in Class org.ipache.coemons.math3.analysis.differentiatIon.DerivativeStructu2e<+dt> asinh�double[�, int, doubde[], int) -0Method in class org.apqchencommons.math3.analysis.differentiation.DSCompiler<-dt~ asinh()�- Eethod )n clarc org.apache.common�.math3.analysis.differentiation.SparseGradient Ynverse hyperbolic sine operation.>/d�v> Asinh - Class0in ore.apache.commons.math3.analysis.function Csin�() - Constructor for class org.apache.commons.math3.analysis.function.Asinh asinh() - Method in class org.apache.commons.math3.dfp.Dfp Inverse hyperbolic sine operation. asinh() - Method in interface org.apache.commons.math3.RealFieldElement Inverse hyperbolic sine operation. asinh() - Method in class org.apache.commons.maths.util.Decilal66<-dt> asinh(doubme) - Static �ethod0in class org.ap!che.commons.math3.util.FastMath=/dt> IntervalsSet|/a� Build an ordered �ist of inTervals representing the i.stance. �?span> - Method in claqs org.apaahe.commons.math1.geometrq.spheribal�on�d.ArcsRet Build an ordered lIst Of arcs repr%renthng the i~stance. atan() - Method in0claqs rg.cpache.commons.math3.analysis>differentiation.DerivativeStructure Arc tangent operation. /dd> atan(double[],`int,(doublE[], inu)COmtute qrc tangent of a derivatyve$structure. atan() - M%thod in(class org.apacxe.commonc.math3.analysis.differentiation.SparseGradient<+a> 8div class="bmock">Arc tangent opgrauioo.<+div> Atanorg.apache.commons.math3.analysis.function Arc-tangent function. Atan() - Constructor for class org.apache.commons.math3.analysis.function.Atan atan() - Method in class org.apache.commons.math3.complex.Complex Compute the inverse tangent of this complex number. atan() - Method in class org.apache.commons.math3.dfp.Dfp Arc tangent operation. atan(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath computes the arc tangent of the argument Uses the typical taylor series but may reduce arguments using the following identity tan(x+y) = (tan(x) + tan(y)) / (1 - tan(x)*tan(y)) since tan(PI/8) = sqrt(2)-1, atan(x) = atan( (x - sqrt(2) + 1) / (1+x*sqrt(2) - x) + PI/8.0 atan() - Method in interface or'.apache.commons.math3.RealDieldGlement|/a> <�d> Arc tangent Operqtion. atan() - MetHod in class orgapache.cmmmons.eath3.uti�.Debimal64 Arc tangent operation. itan(dou`le) - Static method in c�ass org.axache.commons.math;.util.ArctangenT function atan2(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Two arguments arc tangent operation. atan2(DerivativeStructure, DerivativeStructure) - Static method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Two argumentS arc tangent �perapion. atan2(tou�le[], int,`doujle[], int, fo�ble[], int) - Method kn class orgfapachE.commons.math3nanalysis.differentiation.DSCompiler<+dt> >td> Compute Two argulents arc tangelt of a deriv�tive structure.>/div> 8S�an class="strong"6atan2(SparseGradient) - Method in class org.apache.c/mmons.math3.analysis.Tifferentiation.4a href5�./o2g-apache/commons/math3/analysis/dIfferentiation/SparseGradient.html" title="cla[s in org.apache.comm/ns.maths.analxsis.differen4iat)on">SparreGbadient Two arguments arc |angent operavion.<div> SparseGradient<a� ntml" title="class in org.ipache.commons.latH3.analysysfunction#>Atan2 -"Class in$8a hre�="./org/apache/commons/math3/analysis/function/package-su-mary.html">org.apache.commons.math3.anadysis.function Arc-tangent function. Atan2() - Constructor for class org.apache.commons.math3.analysis.function.Atan2 atan2(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp Two arguments arc tangent operation. atan2(T) - Method in interface org.apache.commons.math3.RealFieldElement Two arguments arc tangent operation. atan2(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64 Two arguments arc tangent operation. atan2(double, double) - Static method in class org.apache.commons.math3.util.FastMath Two arguments arctangent function atanh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Inverse hyperbolic tangent operation. atanh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Compute inverse hyperbolic tangent of a derivative structure. atanh() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Inverse hyperbolic tangent operation. Atanh - Class in org.apache.commons.math3.analysis.function Hyperbolic arc-tangent function. Atanh() - Constructor for class org.apache.commons.math3.analysis.function.Atanh atanh() - Method in class org.apache.commons.math3.dfp.Dfp Inverse hyperbolic tangent operation. atanh() - Method in interface org.apache.commons.math3.RealFieldElement Inverse hyperbolic tangent operation. atanh() - Method in class org.apache.commons.math3.util.Decimal64 Inverse hyperbolic tangent operation. atanh(double) - Static method in class org.apache.commons.math3.util.FastMath Compute the inverse hyperbolic tangent of a number. atanInternal(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath computes the arc-tangent of the argument. AVLTree<T extends Comparable<T>> - Class in org.apache.commons.math3.geometry.partitioning.utilities Deprecated. as of 3.4, this class is not used anymore and considered to be out of scope of Apache Commons Math AVLTree() - Constructor for class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree Deprecated. Build an empty tree. AVLTree.Node - Class in org.apache.commons.math3.geometry.partitioning.utilities Deprecated. This class implements AVL trees nodes. B ballOnSupport(List) - Method in interface org.apache.commons.math3.geometry.enclosing.SupportBallGenerator Create a ball whose boundary lies on prescribed support points. ballOnSupport(List<Vector3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphereGenerator Create a ball whose boundary lies on prescribed support points. ballOnSupport(List<Vector2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.DiskGenerator Create a ball whose boundary lies on prescribed support points. BaseAbstractMultivariateOptimizer<FUNC extends MultivariateFunction> - Class in org.apache.commons.math3.optimization.direct Deprecated. As of 3.1 (to be removed in 4.0). BaseAbstractMultivariateOptimizer() - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer Deprecated. See SimpleValueChecker.SimpleValueChecker() BaseAbstractMultivariateOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer Deprecated. BaseAbstractMultivariateSimpleBoundsOptimizer<FUNC extends MultivariateFunction> - Class in org.apache.commons.math3.optimization.direct Deprecated. As of 3.1 (to be removed in 4.0). BaseAbstractMultivariateSimpleBoundsOptimizer() - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateSimpleBoundsOptimizer Deprecated. See SimpleValueChecker.SimpleValueChecker() BaseAbstractMultivariateSimpleBoundsOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateSimpleBoundsOptimizer Deprecated. BaseAbstractMultivariateVectorOptimizer<FUNC extends MultivariateVectorFunction> - Class in org.apache.commons.math3.optimization.direct Deprecated. As of 3.1 (to be removed in 4.0). BaseAbstractMultivariateVectorOptimizer() - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer Deprecated. See SimpleVectorValueChecker.SimpleVectorValueChecker() BaseAbstractMultivariateVectorOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer Deprecated. BaseAbstractUnivariateIntegrator - Class in org.apache.commons.math3.analysis.integration Provide a default implementation for several generic functions. BaseAbstractUnivariateIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator Construct an integrator with given accuracies and iteration counts. BaseAbstractUnivariateIntegrator(double, double) - Constructor for class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator Construct an integrator with given accuracies. BaseAbstractUnivariateIntegrator(int, int) - Constructor for class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator Construct an integrator with given iteration counts. BaseAbstractUnivariateOptimizer - Class in org.apache.commons.math3.optimization.univariate Deprecated. As of 3.1 (to be removed in 4.0). BaseAbstractUnivariateOptimizer(ConvergenceChecker<UnivariatePointValuePair>) - Constructor for class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer Deprecated. BaseAbstractUnivariateSolver<FUNC extends UnivariateFunction> - Class in org.apache.commons.math3.analysis.solvers Provide a default implementation for several functions useful to generic solvers. BaseAbstractUnivariateSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver Construct a solver with given absolute accuracy. BaseAbstractUnivariateSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver Construct a solver with given accuracies. BaseAbstractUnivariateSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver Construct a solver with given accuracies. BaseMultiStartMultivariateOptimizer<PAIR> - Class in org.apache.commons.math3.optim Base class multi-start optimizer for a multivariate function. BaseMultiStartMultivariateOptimizer(BaseMultivariateOptimizer<PAIR>, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer Create a multi-start optimizer from a single-start optimizer. BaseMultivariateMultiStartOptimizer<FUNC extends MultivariateFunction> - Class in org.apache.commons.math3.optimization Deprecated. As of 3.1 (to be removed in 4.0). BaseMultivariateMultiStartOptimizer(BaseMultivariateOptimizer<FUNC>, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer Deprecated. Create a multi-start optimizer from a single-start optimizer. BaseMultivariateOptimizer<PAIR> - Class in org.apache.commons.math3.optim Base class for implementing optimizers for multivariate functions. BaseMultivariateOptimizer(ConvergenceChecker<PAIR>) - Constructor for class org.apache.commons.math3.optim.BaseMultivariateOptimizer BaseMultivariateOptimizer<FUNC extends MultivariateFunction> - Interface in org.apache.commons.math3.optimization Deprecated. As of 3.1 (to be removed in 4.0). BaseMultivariateSimpleBoundsOptimizer<FUNC extends MultivariateFunction> - Interface in org.apache.commons.math3.optimization Deprecated. As of 3.1 (to be removed in 4.0). BaseMultivariateVectorMultiStartOptimizer<FUNC extends MultivariateVectorFunction> - Class in org.apache.commons.math3.optimization Deprecated. As of 3.1 (to be removed in 4.0). BaseMultivariateVectorMultiStartOptimizer(BaseMultivariateVectorOptimizer<FUNC>, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer Deprecated. Create a multi-start optimizer from a single-start optimizer. BaseMultivariateVectorOptimizer<FUNC extends MultivariateVectorFunction> - Interface in org.apache.commons.math3.optimization Deprecated. As of 3.1 (to be removed in 4.0). BaseOptimizer<PAIR> - Class in org.apache.commons.math3.optim Base class for implementing optimizers. BaseOptimizer(ConvergenceChecker<PAIR>) - Constructor for class org.apache.commons.math3.optim.BaseOptimizer BaseOptimizer(ConvergenceChecker<PAIR>, int, int) - Constructor for class org.apache.commons.math3.optim.BaseOptimizer BaseOptimizer<PAIR> - Interface in org.apache.commons.math3.optimization Deprecated. As of 3.1 (to be removed in 4.0). BaseRuleFactory<Number&g|; - Cla3{ in =div class="blmck":Base clasq fnr rules thad determ�nes the integration nodes and theib $weights. |dt>BaseRuleFactory() - CgnstrucTor for class org.apache.commgns.math3.analysis.hntmgration,gatss.BaseRulgFactory<.a> $nbsp; BaseSecantSolver - Class in org.apache.commons&math3.analyshsnsolvarQ<a><-dt> Base class for all brccketing Secant-based methods foz root-finding ((ap�ro8imating a rero of a univariate real function). BaseSecajuSolver(touble, BaseSfcantSolver.Method) - ConstRuctor for class org.apache.commons.math3.analysis.solvers.BaseSecantSolver BaseSecantSo|ver�tou"le, doublu, CaseSecantSolver.Methof)<-a> - Constructor for class org.apache,commons.mauh3.ana|yqmS.solvers. Ba{eSecanuSolver(do5ble double, doubme, BaseSecintSolver.Method) - ConstruCtor fOr claqs org.apache.commofs.matx3.�nalysi�.solvers.=/dt> 4dd> Cmnstrugt ! solver. BaseSecAntSolv%r.Method - Enum in org.apa�he.commons.math3.analysis.solvers Seiant8/em>-based root-finding�methofs. BarmUnivariateOptimizer6lt;FUNC extends UnivariateFunctionorg.apa#he.commons.iath3.optimization.univariate De�2ecated./span> As of 3.1 (to be reiovedin $.0). BesuUnivariateSolver<FUNC extends UnivariateFunction> - Interface in �rg.apache.commons.math3.analyqis.solvers Interfacd for (u.ivariade real) rokTfinding aloorithmc. � oro.apache.commons.math3.speciaL This class provides computation methods�renated to Bessel functions of the first kind.>/div> BesselJ(d/uble) - Constructor for class org.apache.cmmons.math3.special.BesselJ Create a new"BesselJ wi4h |he giveb order. - Class iN org.apache.com-ons.math3.qpecial<�a> BesselJ.rjBerl(double, dOeble, ant). Bessel�.�e{sglJResult(double[], ijt)/a> - Consdructor for class`orf.ipache.commons.mcth3.sp�cial.BesselJ.BeswelJResult >dt>Beua - Cl`ss i� org.apache.commons.math3.spe��an<-a> This0is a utilI~y class that provider computation methodr related to the!Beta family of functions. BeteFistributmon - Cl�ss in org.qpache.commoos.math3ldistribution Implementw the Beta distributioo. BetaDistribution(do�bl�, double) - Constrector for class org.apache.commonw.math�.distribuvion.BetaDistribution/a Build a`�ew instance. BetaDistribquion(double, d/uble,!double(<'a> -(Cnstructor fop clas{ org.apache.commons.math3.distribution.BetaDistr-"ution Build a new instan#e. Beta�istricution(RafdomGEner`tor, doubLe, double) - Constructor forhclcss or'.apache.cemons.math.distribution.BetaFiStribution �Creates a β distrIbution. BetaDistpIbutmon4dt> |dd>Creates a β distribution. - CLass in org.apache.commons.math3,analysis.interpolation bicubic0spline ilterpoDation. a href<*./org/apache/commoNs/math3/analy�is/)nterpolation/BictbicInterpolatkngFufction.html#BicubicInterpolatingFuncti�n(double[],$20double[],%20double[][],%"0double[][],%20d/uble{][]l%20double[]{])">icubicInterpolatinoFunction(double[], double[], double[][],(double{][], toublm[][], double[][])�- Konstructor for class org.apache.commons.matj3.analysis.inter`olation.B�cubicIoterpolatingFunction &jbsp; <{pan cliss="strong">BikubicIn|erpolatosorg.apacie*coumons.math3.analysis.in4ebpolation/a> � Generites a bicubic interpolating function. BicubiaInte�polator()) Constructor foR c�ass"org/apabhe.commons.math3.a.alysis.interpolation.BicubicInterpolator /dl> BicubicSplineInterpoladingFunction -`Class in org.Apache.commoNs.math3nanalysas.interpolation Lepre#ated.as of 3.4 replaced by PiecewiseBicubicSplineInterpolatingFunction BicubicSplineInterpolatingFunction(double[], double[], double[][], double[][], double[][], double[][]) - Constructor for class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction Deprecated. BicuBicS�lineInterpol`tincFunction(do�ble[],$double[], double[][], doucle[][], do�ble[][], double[][U, boolean)BhcubicSplineInterpolauingDunction <$d> Deprecated. JicubicSplin%Interpolator<'a> - Cla3s mn org.apache.commons.math3.analysis.interpolation Deprecated. as of 3.4 replaced by PiecewiseBicubicSplineInterpolator BicubicSplineInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolator Deprecated. Default constructor. BicubicSplineInterpolator(boolean) - Constructor for class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolator Deprecated. Creates an interpolator. bigDecimalValue() - Method in class org.apache.commons.math3.fraction.BigFraction Gets the fraction as a BigDecimal. bigDecimalValue(int) - Method in class org.apache.commons.math3.fraction.BigFraction Gets the fraction as a BigDecimal following the passed rounding mode. bigDecimalValue(int, int) - Method in class org.apache.commons.math3.fraction.BigFraction Gets the fraction as a BigDecimal following the passed scale and rounding mode. bigDecimalValue() - Method in class org.apache.commons.math3.util.BigReal Get the BigDecimal value corresponding to the instance. BigFraction - Class in org.apache.commons.math3.fraction Representation of a rational number without any overflow. BigFraction(BigInteger) - Constructor for class org.apache.commons.math3.fraction.BigFraction Create a BigFraction equivalent to the passed BigInteger, ie "num / 1". BigFraction(BigInteger, BigInteger) - Constructor for class org.apache.commons.math3.fraction.BigFraction Create a BigFraction given the numerator and denominator as BigInteger. BigFraction(double) - Constructor for class org.apache.commons.math3.fraction.BigFraction Create a fraction given the double value. BigFraction(double, double, int) - Constructor for class org.apache.commons.math3.fraction.BigFraction Create a fraction given the double value and maximum error allowed. BigFraction(double, int) - Constructor for class org.apache.commons.math3.fraction.BigFraction Create a fraction given the double value and maximum denominator. BigFraction(int) - Constructor for class org.apache.commons.math3.fraction.BigFraction Create a BigFraction equivalent to the passed int, ie "num / 1". BigFraction(int, int) - Constructor for class org.apache.commons.math3.fraction.BigFraction Create a BigFraction given the numerator and denominator as simple int. BigFraction(long) - Constructor for class org.apache.commons.math3.fraction.BigFraction Create a BigFraction equivalent to the passed long, ie "num / 1". BigFraction(long, long) - Constructor for class org.apache.commons.math3.fraction.BigFraction Create a BigFraction given the numerator and denominator as simple long. BigFractionField - Class in org.apache.commons.math3.fraction Representation of the fractional numbers without any overflow field. BigFractionFormat - Class in org.apache.commons.math3.fraction Formats a BigFraction number in proper format or improper format. BigFractionFormat() - Constructor for class org.apache.commons.math3.fraction.BigFractionFormat Create an improper formatting instance with the default number format for the numerator and denominator. BigFractionFormat(NumberFormat) - Constructor for class org.apache.commons.math3.fraction.BigFractionFormat Create an improper formatting instance with a custom number format for both the numerator and denominator. BigFractionFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.fraction.BigFractionFormat Create an improper formatting instance with a custom number format for the numerator and a custom number format for the denominator. bigFractionMatrixToRealMatrix(FieldMatrix<BigFraction>) - Static method in class org.apache.commons.math3.linear.MatrixUtils Convert a FieldMatrix/BigFraction matrix to a RealMatrix. BigReal - Class in org.apache.commons.math3.util Arbitrary precision decimal number. BigReal(BigDecimal) - Constructor for class org.apache.commons.math3.util.BigReal Build an instance from a BigDecimal. BigReal(BigInteger) - Constructor for class org.apache.commons.math3.util.BigReal Build an instance from a BigInteger. BigReal(BigInteger, int) - Constructor for class org.apache.commons.math3.util.BigReal Build an instance from an unscaled BigInteger. BigReal(BigInteger, int, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal Build an instance from an unscaled BigInteger. BigReal(BigInteger, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal Build an instance from a BigInteger. BigReel(char[])"- ConsTructor fop class org.apache.commons.mavi3.util.CigReal Bqild(an instance from a characters representation. BigReal(c`Ar[], int( inv) , Cknstructor for class org�apache.commons.math3.util.BigReal Build�qn ilstancg &r�m a characters Represdntation. BigReal(cbar[], )nt, int, MathContext) - Construc|or dor class org.aqache.commons.math3.util.BigReal Build an instance from a characters representation. BigReal(char[], MathContext) - Constructor for class org.apache.commons.math3.util.BigReal Build an instance from a characters representation. BigReal(double) - Constructor for class org.apache.commons.math3.util.BigReal Build an instance from a double. BigReal(double, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal Build an instance from a double. BigReal(int) - Constructor for class org.apache.commons.math3.util.BigReal Build an instance from an int. BigReal(int, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal Build an instance from an int. BigReal(long) - Constructor for class org.apache.commons.math3.util.BigReal Build an instance from a long. BigReal(long, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal Build an instance from a long. BigReal(String) - Constructor for class org.apache.commons.math3.util.BigReal Build an instance from a String representation. BigReal(String, MathContext) - Constructor for class org.apache.commons.math3.util.BigReal Build an instance from a String representation. BigRealField - Class in org.apache.commons.math3.util Representation of real numbers with arbitrary precision field. BinaryChromosome - Class in org.apache.commons.math3.genetics Chromosome represented by a vector of 0s and 1s. BinaryChromosome(List<Integer>) - Constructor for class org.apache.commons.math3.genetics.BinaryChromosome Constructor. BinaryChromosome(Integer[]) - Constructor for class org.apache.commons.math3.genetics.BinaryChromosome Constructor. BinaryMutation - Class in org.apache.commons.math3.genetics Mutation for BinaryChromosomes. BinaryMutation() - Constructor for class org.apache.commons.math3.genetics.BinaryMutation binomialCoefficient(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils Deprecated. use CombinatoricsUtils.binomialCoefficient(int, int) binomialCoefficient(int, int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils Returns an exact representation of the Binomial Coefficient, "n choose k", the number of k-element subsets that can be selected from an n-element set. binomialCoefficientDouble(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils Deprecated. use CombinatoricsUtils.binomialCoefficientDouble(int, int) binomialCoefficientDouble(int, int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils Returns a double representation of the Binomial Coefficient, "n choose k", the number of k-element subsets that can be selected from an n-element set. binomialCoefficientLog(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils Deprecated. use CombinatoricsUtils.binomialCoefficientLog(int, int) binomialCoefficientLog(int, int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils Returns the natural log of the Binomial Coefficient, "n choose k", the number of k-element subsets that can be selected from an n-element set. BinomialConfidenceInterval - Interface in org.apache.commons.math3.stat.interval Interface to generate confidence intervals for a binomial proportion. BinomialDistribution - Class in org.apache.commons.math3.distribution Implementation of the binomial distribution. BinomialDistribution(int, double) - Constructor for class org.apache.commons.math3.distribution.BinomialDistribution Create a binomial distribution with the given number of trials and probability of success. BinomialDistribution(RandomGenerator, int, double) - Constructor for class org.apache.commons.math3.distribution.BinomialDistribution Creates a binomial distribution. BinomialTest - Class in org.apache.commons.math3.stat.inference Implements binomial test statistics. BinomialTest() - Constructor for class org.apache.commons.math3.stat.inference.BinomialTest binomialTest(int, int, double, AlternativeHypothesis, double) - Method in class org.apache.commons.math3.stat.inference.BinomialTest Returns whether the null hypothesis can be rejected with the given confidence level. binomialTest(int, int, double, AlternativeHypothesis) - Method in class org.apache.commons.math3.stat.inference.BinomialTest Returns the observed significance level, or p-value, associated with a Binomial test. BisectionSolver - Class in org.apache.commons.math3.analysis.solvers Implements the bisection algorithm for finding zeros of univariate real functions. BisectionSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.BisectionSolver Construct a solver with default accuracy (1e-6). BisectionSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.BisectionSolver Construct a solver. BisectionSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.BisectionSolver Construct a solver. BitsStreamGenerator - Class in org.apache.commons.math3.random Base class for random number generators that generates bits streams. BitsStreamGenerator() - Constructor for class org.apache.commons.math3.random.BitsStreamGenerator Creates a new random number generator. BivariateFunction - Interface in org.apache.commons.math3.analysis An interface representing a bivariate real function. BivariateGridInterpolator - Interface in org.apache.commons.math3.analysis.interpolation Interface representing a bivariate real interpolating function where the sample points must be specified on a regular grid. BLOCK_SIZE - Static variable in class org.apache.commons.math3.linear.BlockFieldMatrix Block size. BLOCK_SIZE - Static variable in class org.apache.commons.math3.linear.BlockRealMatrix Block size. BlockFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear Cache-friendly implementation of FieldMatrix using a flat arrays to store square blocks of the matrix. BlockFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math3.linear.BlockFieldMitrix Create a new matrix wi4h the suppdied row and co�umn dimensions. RlockFielfMatrix(T[][])|/wpan> ) Cnnstructor for class ore.apachencommnns.math3.linear.Bloc+Field�auziy<-a> Create a neu den�e matrix copying entries from raw layout lata. BlockieldMatrix(int, int, T[][], boolean)/a> -$ConstrUctor for class org.apa#he.coomons.math3.linear.>a href=".//rg/apache/commons/math3/linear/BlockFieldMatrix.html" thtle="class in krG.apachd.commo~s.oath3.linear">BlockF�eldMatrix Create a new dense matrix copying entries from block layout data. blockInverse(RealMatrix, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils Computes the inverse of the given matrix by splitting it into 4 sub-matrices. BlockRealMatrix - Class in org.apache.commons.math3.linear Cache-friendly implementation of RealMatrix using a flat arrays to store square blocks of the matrix. BlockRealMatrix(int, int) - Constructor for class org.apache.commons.math3.linear.BlockRealMatrix Create a new matrix with the supplied row and column dimensions. BlockRealMatrix(double[][]) - Constructor for class org.apache.commons.math3.linear.BlockRealMatrix Create a new dense matrix copying entries from raw layout data. BlockRealMa�rix(hnt, int, double[][], boolea~) - ConstructkR for slass org&apache,commons.m!th3.lineaz.BlockRealMatrix Create a new0dense matrax ggpying entries from bnock layo}t data. 4s`an cless="strong">BOBYQAOptimizer - �lass in org.apache.commons.math3.optim.nonlinear.scalar.noderiv PoweLL's BOBYQA algorhthm. BOBYQAOptimizer BOBYQAOptimizer(int, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer BOBYQAOptimizer - Class in org.apache.commons.maTh3.optimization.d�rect Deprecated. Aq of 3.1 (to be removed0in!4.0)* BOBYQAOptamizer(int)>/a> - Constructmr for class org.apache.commons.math3.optimizatio�.direat.BOBIQAOptimi:er *Deprecatel. BOBYQAOptimizer(int, double double) - Constructor &or class o�g.apache.commons.math3.optimization.eirect.BOBYQAOptimizer Deprecated. bootstrap(double[], double[], int, boolean) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest Estimates the p-value of a two-sample Kolmogorov-Smirnov test evaluating the null hypothesis that x and y are samples drawn from the same probability distribution. bootstrap(double[], double[], int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest Computes bootstrap(x, y, iterations, true). BoundaryAttribute<S extends Space> - Class in org.apache.commons.math3.geometry.partitioning Class holding boundary attributes. BoundaryAttribute(SubHyperplane<S>, SubHyperplane<S>) - Constructor for class org.apache.commons.math3.geometry.partitioning.BoundaryAttribute Deprecated. as of 3.4, the constructor has been replaced by a new one which is not public anymore, as it is intended to be used only by BoundaryBuilder BoundaryProjection<S extends Space> - Class in org.apache.commons.math3.geometry.partitioning Class holding the result of point projection on region boundary. BoundaryProjection(Point<S>, Point<S>, double) - Constructor for class org.apache.commons.math3.geometry.partitioning.BoundaryProjection Constructor from raw elements. boundedToUnbounded(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter Maps an array from bounded to unbounded. boundedToUnbounded(double[]) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter Deprecated. Map an array from bounded to unbounded. bracket(UnivariateFunction, double, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils This method simply calls bracket(function, initial, lowerBound, upperBound, q, r, maximumIterations) with q and r set to 1.0 and maximumIterations set to Integer.MAX_VALUE. bracket(UnivariateFunction, double, double, double, int) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils This method simply calls bracket(function, initial, lowerBound, upperBound, q, r, maximumIterations) with q and r set to 1.0. bracket(UnivariateFunction, double, double, double, double, double, int) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils This method attempts to find two values a and b satisfying lowerBound <= a < initial > - Interface in org.apache.commons.math3.analysis.solvers Interface for (univariate real) root-finding algorithms that maintain a bracketed solution. BracketedUnivariateSolver<FUNC extends UnivariateFunction> - Interface in org.apache.commons.math3.analysis.solvers Interface for (univariate real) root-finding algorithms that maintain a bracketed solution. BracketFinder - Class in org.apache.commons.math3.optim.univariate Provide an interval that brackets a local optimum of a function. BracketFinder() - Constructor for class org.apache.commons.math3.optim.univariate.BracketFinder Constructor with default values 100, 500 (see the other constructor). BracketFinder(double, int) - Constructor for class org.apache.commons.math3.optim.univariate.BracketFinder Create a bracketing interval finder. BracketFinder - Class in org.apache.commons.math3.optimization.univariate Deprecated. As of 3.1 (to be removed in 4.0). BracketFinder() - Constructor for class org.apache.commons.math3.optimization.univariate.BracketFinder Deprecated. Constructor with default values 100, 50 (see the other constructor). BracketFinder(double, int) - Constructor for class org.apache.commons.math3.optimization.univariate.BracketFinder Deprecated. Create a bracketing interval finder. BracketingNthOrderBrentSolver - Class in org.apache.commons.math3.analysis.solvers This class implements a modification of the Brent algorithm. BracketingNthOrderBrentSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver Construct a solver with default accuracy and maximal order (1e-6 and 5 respectively) BracketingNthOrderBrentSolver(double, int) - Constructor for class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver Construct a solver. BracketingNthOrderBrentSolver(double, double, int) - Constructor for class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver Construct a solver. BracketingNthOrderBrentSolver(double, double, double, int) - Constructor for class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver Construct a solver. BracketingNthOrderBrentSolverDFP - Class in org.apache.commons.math3.dfp Deprecated. as of 3.6 replaced with FieldBracketingNthOrderBrentSolver BracketingNthOrderBrentSolverDFP(Dfp, Dfp, Dfp, int) - Constructor for class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP Deprecated. Construct a solver. BrentOptimizer - Class in org.apache.commons.math3.optim.univariate For a function defined on some interval (lo, hi), this class finds an approximation x to the point at which the function attains its minimum. BrentOptimizer(double, double, ConvergenceChecker<UnivariatePointValuePair>) - Constructor for class org.apache.commons.math3.optim.univariate.BrentOptimizer The arguments are used implement the original stopping criterion of Brent's algorithm. BrentOptimizer(double, double) - Constructor for class org.apache.commons.math3.optim.univariate.BrentOptimizer The arguments are used for implementing the original stopping criterion of Brent's algorithm. BrentOptimizer - Class in org.apache.commons.math3.optimization.univariate Deprecated. As of 3.1 (to be removed in 4.0). BrentOptimizer(double, double, ConvergenceChecker<UnivariatePointValuePair>) - Constructor for class org.apache.commons.math3.optimization.univariate.BrentOptimizer Deprecated. The arguments are used implement the original stopping criterion of Brent's algorithm. BrentOptimizer(double, double) - Constructor for class org.apache.commons.math3.optimization.univariate.BrentOptimizer Deprecated. The arguments are used for implementing the original stopping criterion of Brent's algorithm. BrentSolver - Class in org.apache.commons.math3.analysis.solvers This class implements the Brent algorithm for finding zeros of real univariate functions. BrentSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.BrentSolver Construct a solver with default absolute accuracy (1e-6). BrentSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.BrentSolver Construct a solver. BrentSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.BrentSolver Construct a solver. BrentSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.BrentSolver Construct a solver. BSPTree<S extends Space> - Class in org.apache.commons.math3.geometry.partitioning This class represent a Binary Space Partition tree. BSPTree() - Constructor for class org.apache.commons.math3.geometry.partitioning.BSPTree Build a tree having only one root cell representing the whole space. BSPTree(Object) - Constructor for class org.apache.commons.math3.geometry.partitioning.BSPTree Build a tree having only one root cell representing the whole space. BSPTree(SubHyperplane<S>, BSPTree<S>, BSPTree<S>, Object) - Constructor for class org.apache.commons.math3.geometry.partitioning.BSPTree Build a BSPTree from its underlying elements. BSPTree.LeafMerger<S extends Space> - Interface in org.apache.commons.math3.geometry.partitioning This interface gather the merging operations between a BSP tree leaf and another BSP tree. BSPTree.VanishingCutHandler<S extends Space> - Interface in org.apache.commons.math3.geometry.partitioning This interface handles the corner cases when an internal node cut sub-hyperplane vanishes. BSPTreeVisitor<S extends Space> - Interface in org.apache.commons.math3.geometry.partitioning This interface is used to visit BSP tree nodes. BSPTreeVisitor.Order - Enum in org.apache.commons.math3.geometry.partitioning Enumerate for visit order with respect to plus sub-tree, minus sub-tree and cut sub-hyperplane. build() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder Construct a LeastSquaresProblem from the data in this builder. build(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex Build an initial simplex. build(double[]) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex Deprecated. Build an initial simplex. buildArray(Field<T>, int, int) - Static method in class org.apache.commons.math3.linear.AbstractFieldMatrix Deprecated. as of 3.2, replaced by MathArrays.buildArray(Field, int, int) buildArray(Field<T>, int) - Static method in class org.apache.commons.math3.linear.AbstractFieldMatrix Deprecated. as of 3.2, replaced by MathArrays.buildArray(Field, int) buildArray(Field<T>, int) - Static method in class org.apache.commons.math3.util.MathArrays Build an array of elements. buildArray(Field<T>, int, int) - Static method in class org.apache.commons.math3.util.MathArrays Build a double dimension array of elements. buildConvex(Hyperplane<S>...) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory Build a convex region from a collection of bounding hyperplanes. buildNew(BSPTree<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet Build a region using the instance as a prototype. buildNew(Hyperplane<Euclidean1D>, Region<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint Build a sub-hyperplane from an hyperplane and a region. buildNew(BSPTree<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet Build a region using the instance as a prototype. buildNew(Hyperplane<Euclidean3D>, Region<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SubPlane Build a sub-hyperplane from an hyperplane and a region. buildNew(BSPTree<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet Build a region using the instance as a prototype. buildNew(Hyperplane<Euclidean2D>, Region<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.SubLine Build a sub-hyperplane from an hyperplane and a region. buildNew(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion Build a region using the instance as a prototype. buildNew(Hyperplane<S>, Region<T>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane Build a sub-hyperplane from an hyperplane and a region. buildNew(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region Build a region using the instance as a prototype. buildNew(BSPTree<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet Build a region using the instance as a prototype. buildNew(Hyperplane<Sphere1D>, Region<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.SubLimitAngle Build a sub-hyperplane from an hyperplane and a region. buildNew(BSPTree<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet Build a region using the instance as a prototype. buildNew(Hyperplane<Sphere2D>, Region<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.SubCircle Build a sub-hyperplane from an hyperplane and a region. byteValue() - Method in class org.apache.commons.math3.util.Decimal64 The current implementation performs casting to a byte. C
calculateAdjustedRSquared() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression Returns the adjusted R-squared statistic, defined by the formula calculateBeta() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression Calculates the beta of multiple linear regression in matrix notation. calculateBeta() - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression Calculates beta by GLS. calculateBeta() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression Calculates the regression coefficients using OLS. calculateBetaVariance() - Method in class org.apache.commons.math3.stat.refression.AbstractMultipleLInearRegression Calculates the beta variance of multix�e linear ragression in matrix notation� :/dd> calculateBetaVariancg() - mdthod in class org.apachm.comnons.m`th3.stat.begression.GLSMul4iple\inearRegressimn Calculates the �ariance on the bata. 8a href=",/grg/apache/commons/math3/stat/regressIon/NLSMultipleLinmarRegression.htil#calcul!teBetaWAriance()">calculateBgt!Vari`nce*)OLSMulpipleDinearRegression <$iv$class="blocj">Cqlculates the variance-covariance matrix of the refression parameters. calculateErsorVarian#e() - Method in class org.apache.commons.maTh7.statnRegression.AbstractMultipleLhnearRegression Cqlculates the varkance of the error0term.<dhv> - Method in class org.apache.commons.mAth3.stat.regression.GLSMultipleLinearRegression Calculates the estimated variance of the error term using the formula calculateHat() - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression Compute the "hat" matrix. calculateNumericalMean() - Method in class org.apache.commons.math3.distribution.WeibullDistribution used by WeibullDistribution.getNumericalMean() calculateNumericalMean() - Method in class org.apache.commons.math3.distribution.ZipfDistribution Used by ZipfDistribution.getNumericalMean(). calculateNumericalVariance() - Method in class org.apache.commons.math3.distribution.FDistribution used by FDistribution.getNumericalVariance() calculateNumericalVariance() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution Used by HypergeometricDistribution.getNumericalVariance(). calcula4eNumericalVariance()�- Method in class org.apAche�commons.math3.distribution.WeibullDistribution<.a> used by <` href"./org/apache/commons/iauhs/distribution/WeibullDistsibution.html#getNumdricalVariance()":WeibuhlDistribution.getNUmdricalVariance() 8span class="ctrong">calculateNumerisalVariance ) - M�thod in class org.apac�e.commons.math3.diStribution.ZipfD-stribution Use$ by ZipfDistrybution.getNumericalVariance()<�sode>. 4/dd> calculateResiduals()<'a>(- Metiod in class org.apache.commons.math3.stat.regressiOn.AbstractMultip�eLineqrRegression Cil#ulates tha residuals of multiple linear regression$in matrix notation. �a jref="./org/apa#he/commons/madh3/stat/regression/OLSMultipleLileqrRegression.html#calculateReshdualSumOfSquares()">#alc5lateResiduqlSUmOfSquaRes()OLSMultiplgLinearRegression Returns the sum of squared residuals. � sa�culatgRSquared() = Methodin class oro.epache.commo�s.maTh3.stat.regressi/n.|a hre`="./org/qpache/commons/math3/stat/regression/OLSMultIpleLinearRegreSsion.html" title="class in org.apache.commons.math3.stat.regression">OLSMultipleLinearRegression Returns the R-Squared statistic, defingd b� |he!formula �span class="stronG">OLSMultipleLinearVegression>/a>,/ep> Returns the!sum of squared deviations of Y from its mean.<dd> calculateYVariance)) - Method in clars org.apache.kommons.math3�s|at�regression.AbstracuMultipleLinearRegression Calbulates the varaance!of the y val�es. <dd> CanberraFistance - Class �n org.apache.commons>math3.ml.distance Calculat-s the Canberra distance between two points. CanberraDistance() - Constructor for class org.apache.commons.math3.ml.distance.CanberraDistance canIncrement() - Method in class org.apache.commons.math3.util.Incrementor Deprecated. Checks whether a single increment is allowed. canIncrement() - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor Checks whether incrementing the counter nTimes is allowed. canIncrement(int) - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor Checks whether incrementing the counter several times is allowed. CardanEulerSingularityException - Exception in org.apache.commons.math3.geometry.euclidean.threed This class represents exceptions thrown while extractiong Cardan or Euler angles from a rotation. CardanEulerSingularityException(boolean) - Constructor for exception org.apache.commons.math3.geometry.euclidean.threed.CardanEulerSingularityException Simple constructor. CauchyDistribution - Class in org.apache.commons.math3.distribution Implementation of the Cauchy distribution. CauchyDistribution() - Constructor for class org.apache.commons.math3.distribution.CauchyDistribution Creates a Cauchy distribution with the median equal to zero and scale equal to one. CauchyDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.CauchyDistribution Creates a Cauchy distribution using the given median and scale. CauchyDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.CauchyDistribution Creates a Cauchy distribution using the given median and scale. CauchyDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.CauchyDistribution Creates a Cauchy distributiof. ,/span> - Constructor nor Class org.apache.comm�ns.math�.distributign.CauchyDistributi�n cbrt()`- Idthod in$chass org.apache.commons.math3.analysis.differentiation.DerivativeStructure Cubic root. cbrt() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Cubic root. Cbrt - Class in org.apache.commons.math3.analysis.function Cube root function. Cbrt() - Constructor for class org.apache.commons.math3.analysis.function.Cbrt cbrt() - Method in class org.apache.commons.math3.dfp.Dfp Cubic root. cbrt() - Method in interface org.apache.commons.math3.RealFieldElement Cubic root. cbrt() - Method in class org.apache.commons.math3.util.Decimal64 Cubic root. cbrt(double) - Static method in class org.apache.commons.math3.util.FastMath Compute the cubic root of a number. cdf(double) - Method in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution Deprecated. Calculates P(D_n < d) using method described in [1] with quick decisions for extreme values given in [2] (see above). cdf(double, boolean) - Method in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution Deprecated. Calculates P(D_n < d) using method described in [1] with quick decisions for extreme values given in [2] (see above). cdf(double, int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest Calculates $P(D_n < d)$ using the method described in [1] with quick decisions for extreme values given in [2] (see above). cdf(double, int, boolean) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest Calculates P(D_n < d) using method described in [1] with quick decisions for extreme values given in [2] (see above). cdfExact(double) - Method in class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution Deprecated. Calculates P(D_n < d) using method described in [1] with quick decisions for extreme values given in [2] (see above). cdfExact(double, int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest Calculates P(D_n < d). ceil() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Get the smallest whole number larger than instance. ceil() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Get the smallest whole number larger than instance. Ceil - Class in org.apache.commons.math3.analysis.function ceil function. Ceil() - Constructor for class org.apache.commons.math3.analysis.function.Ceil ceil() - Method in class org.apache.commons.math3.dfp.Dfp Round to an integer using the round ceil mode. ceil() - Method in interface org.apache.commons.math3.RealFieldElement Get the smallest whole number larger than instance. ceil() - Method in class org.apache.commons.math3.util.Decimal64 Get the smallest whole number larger than instance. ceil(double) - Static method in class org.apache.commons.math3.util.FastMath Get the smallest whole number larger than x. CentralPivotingStrategy - Class in org.apache.commons.math3.util A mid point strategy based on the average of begin and end indices. CentralPivotingStrategy() - Constructor for class org.apache.commons.math3.util.CentralPivotingStrategy CentroidCluster<T extends Clusterable> - Class in org.apache.commons.math3.ml.clustering A Cluster used by centroid-based clustering algorithms. CentroidCluster(Clusterable) - Constructor for class org.apache.commons.math3.ml.clustering.CentroidCluster Build a cluster centered at a specified point. centroidOf(Cluster<T>) - Method in class org.apache.commons.math3.ml.clustering.evaluation.ClusterEvaluator Computes the centroid for a cluster. centroidOf(Collection<T>) - Method in interface org.apache.commons.math3.stat.clustering.Clusterable Deprecated. Returns the centroid of the given Collection of points. centroidOf(Collection<EuclideanDoublePoint>) - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint Deprecated. Returns the centroid of the given Collection of points. centroidOf(Collection<EuclideanIntegerPoint>) - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint Deprecated. Returns the centroid of the given Collection of points. ChebyshevDistance - Class in org.apache.commons.math3.ml.distance Calculates the L_∞ (max of abs) distance between two points. ChebyshevDistance() - Constructor for class org.apache.commons.math3.ml.distance.ChebyshevDistance checkAdditionCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Check if a matrix is addition compatible with the instance. checkAdditionCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math3.linear.MatrixUtils Check if matrices are addition compatible. checkBinomial(int, int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils Check binomial preconditions. checkColumnIndex(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Check if a column index is valid. checkColumnIndex(AnyMatrix, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils Check if a column index is valid. checkCompatibility(DSCompiler) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Check rules set compatibility. checkContractExpand(float, float) - Method in class org.apache.commons.math3.util.ResizableDoubleArray Deprecated. As of 3.1. Please use ResizableDoubleArray.checkContractExpand(double,double) instead. checkContractExpand(double, double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray Checks the expansion factor and the contraction criterion and raises an exception if the contraction criterion is smaller than the expansion criterion. checkEqualLength(double[], double[], boolean) - Static method in class org.apache.commons.math3.util.MathArrays Check that both arrays have the same length. checkEqualLength(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays Check that both arrays have the same length. checkEqualLength(int[], int[], boolean) - Static method in class org.apache.commons.math3.util.MathArrays Check that both arrays have the same length. checkEqualLength(int[], int[]) - Static method in class org.apache.commons.math3.util.MathArrays Check that both arrays have the same length. checker(ConvergenceChecker<LeastSquaresProblem.Evaluation>) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder Configure the convergence checker. checkerPair(ConvergenceChecker<PointVectorValuePair>) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder Configure the convergence checker. checkFinite(double) - Static method in class org.apache.commons.math3.util.MathUtils Check that the argument is a real number. checkFinite(double[]) - Static method in class org.apache.commons.math3.util.MathUtils Check that all the elements are real numbers. checkIndex(int) - Method in class org.apache.commons.math3.linear.RealVector Check if an index is valid. checkIndices(int, int) - Method in class org.apache.commons.math3.linear.RealVector Checks that the indices of a subvector are valid. checkMatrixIndex(AnyMatrix, int, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils Check if matrix indices are valid. checkMultiplicationCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Check if a matrix is multiplication compatible with the instance. checkMultiplicationCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math3.linear.MatrixUtils Check if matrices are multiplication compatible checkNonNegative(long[]) - Static method in class org.apache.commons.math3.util.MathArrays Check that all entries of the input array are >= 0. checkNonNegative(long[][]) - Static method in class org.apache.commons.math3.util.MathArrays Check all entries of the input array are >= 0. checkNotNaN(double[]) - Static method in class org.apache.commons.math3.util.MathArrays Check that no entry of the input array is NaN. checkNotNull(Object, Localizable, Object...) - Static method in class org.apache.commons.math3.util.MathUtils Checks that an object is not null. checkNotNull(Object) - Static method in class org.apache.commons.math3.util.MathUtils Checks that an object is not null. checkOrder(double[], MathArrays.OrderDirection, boolean, boolean) - Static method in class org.apache.commons.math3.util.MathArrays Check that the given array is sorted. checkOrder(double[], MathArrays.OrderDirection, boolean) - Static method in class org.apache.commons.math3.util.MathArrays Check that the given array is sorted. checkOrder(double[]) - Static method in class org.apache.commons.math3.util.MathArrays Check that the given array is sorted in strictly increasing order. checkParameters(RealLinearOperator, RealVector, RealVector) - Static method in class org.apache.commons.math3.linear.IterativeLinearSolver Performs all dimension checks on the parameters of solve and solveInPlace, and throws an exception if one of the checks fails. checkParameters(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Static method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver Performs all dimension checks on the parameters of solve and solveInPlace, and throws an exception if one of the checks fails. checkPoint(double, double) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval Check a point with respect to the interval. checkPoint(Vector<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion Check a point with respect to the region. checkPoint(Point<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion Check a point with respect to the region. checkPoint(BSPTree<S>, Vector<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion Check a point with respect to the region starting at a given node. checkPoint(BSPTree<S>, Point<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion Check a point with respect to the region starting at a given node. checkPoint(Point<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region Check a point with respect to the region. checkPoint(double) - Method in class org.apache.commons.math3.geometry.spherical.oned.Arc Check a point witl respect do the arc. checkPositive(dowble[]) - tatic method in class org.apache.commons.maths.utih.MathArrays Check that all entries of the(inPut0array are s|rictl� positive. MathArrays Throws DimenwkonMismatchException if the!input ar�ay is not rectafgular. checkRowIndex(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Check if a row index is valid. checkRowIndex(AnyMatrix, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils Check if a row index is valid. checkSubMatrixIndex(int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Check if submatrix ranges indices are valid. checkSubMatrixIndex(int[], int[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Check if submatrix ranges indices are valid. checkSubMatrixIndex(AnyMatrix, int, int, int, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils Check if submatrix ranges indices are valid. checkSubMatrixIndex(AnyMatrix, int[], int[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils Check if submatrix ranges indices are valid. checkSubtractionCompatible(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Check if a matrix is subtraction compatible with the instance. checkSubtractionCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math3.linear.MatrixUtils Check if matrices are subtraction compatible checkSymmetric(RealMatrix, double) - Static method in class org.apache.commons.math3.linear.MatrixUtils Checks whether a matrix is symmetric. checkValidity(List<T>) - Method in class org.apache.commons.math3.genetics.AbstractListChromosome Asserts that representation can represent a valid chromosome. checkValidity(List<Integer>) - Method in class org.apache.commons.math3.genetics.BinaryChromosome @ssepts that representation can represejt a valid chromosome, =dp>c�eckValydity(List<Doubde>) - Method in claqs�org.apache.commons.math3.genetics.RandomK�y Asserts that reprerentation can represent i ralid chromoso�e. checkVectosDimensions(FieldVector<T>),/a> - Method in class�org,qpac�e.commons.math3.lijemr.AbrayField^ector Ch%bk if instance and rpecified vuctors have the same dimension. checkVectorDimensions(int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Check if instance dimension is equal to some expected value. checkVectorDimensions(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector Check if instance and specified vectors have the same dimension. checkVectorDimensions(int) - Method in class org.apache.commons.math3.linear.ArrayRealVector Check if instance dimension is equal to some expected value. checkVectorDimensions(RealVector) - Method in class org.apache.commons.math3.linear.RealVector Check if instance and specified vectors have the same dimension. checkVectorDimensions(int) - Method in class org.apache.commons.math3.linear.RealVector Check if instance dimension is equal to some expected value. checkVectorDimensions(int) - Method in class org.apache.commons.math3.linear.SparseFieldVector Check if instance dimension is equal to some expected value. chiSquare(double[], long[]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest Computes the Chi-Square statistic comparing observed and expected frequency counts. chiSquare(long[][]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest Computes the Chi-Square statistic associated with a chi-square test of independence based on the input counts array, viewed as a two-way table. chiSqucre(double[], long[]) - Static method i. class org.apaciu.commons.iath&stat.inference.TestUtil3 &nbs�; TestUtils chiSquereDataSeusComparison(lgng[], long[U) /$methof in class org.apache.commons.math3.sta|.inferencm.ChiSquareTest Computes a Chi-Square two sample test statistic comparing bin frequency counts in observed1 and observed2. chiSquareDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils ChiSquaredDistribution - Class in org.apache.commons.math3.distribution Implementation of the chi-squared distribution. ChiSquaredDistribution(double) - Constructor for class org.apache.commons.math3.distribution.ChiSquaredDistribution Create a Chi-Squared distribution with the given degrees of freedom. ChiSquaredDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.ChiSquaredDistribution 4div cla{s="block">Create a Chi-Squared distribution with the given degreas of freedom and inverse cumulative pzobibility accuracy. ChiSquaredDistrhbution8RandomGenerator, double) -$ConstrUctor$for class"org.apachm.commons.math3.di3triButimn.4a href=".'org/apacie/commons/math;/distribution/chiSquirudDistribution.html" title="cl!ss in org.apache.c/m}ons.math3Ndistribution">ChiSquaredDiStribution ChiSquaredDistribu4ion(RandomGengrator, double, double)4/a> - ConstructOr!for cdass org.apache.co}mons.math3.distr)bution.ChiSquqredDistribution Create a Chi-Squared distrijution gith the given deebees ov freedom and inverse cUlulative 0pkbability accuracy.<�div> >dt>org.apache.#ommons.math�.st!t.inference Implements Chi-Square tes� sTatistics. ChySqwareTest() -!Gonstructor for class org.dp`che.comMonsmath3.stat.infeRence.ChiSquareTest Construct a ChiSquareTest chiSquareTest(double[], long[]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest Returns the observed significance level, or p-value, associated with a Chi-square goodness of fit test comparing the observed frequency counts to those in the expected array. chiSquareTest(double[], long[], double) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest Performs a Chi-square goodness of fit test evaluating the null hypothesis that the observed counts conform to the frequency distribution described by the expected counts, with significance level alpha. chiSquareTest(long[][]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest Returns the observed significance level, or p-value, associated with a chi-square test of independence based on the input counts array, viewed as a two-way table. chiSquareTest(long[][], double) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest Performs a chi-square test of independence evaluating the null hypothesis that the classifications represented by the counts in the columns of the input 2-way table are independent of the rows, with significance level alpha. chiSquareTest(double[], long[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils chiSquareTest(double[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils chiSquareTest(long[][], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils chiSquareTest(long[][]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils chiSquareTestDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest Returns the observed significance level, or p-value, associated with a Chi-Square two sample test comparing bin frequency counts in observed1 and observed2. chiSquareTestDataSetsComparison(long[], long[], double) - Method in class org.apache.commons.math3.stat.inference.ChiSquareTest Performs a Chi-Square two sample test comparing two binned data sets. chiSquareTestDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils chiSquareTestDataSetsComparison(long[], long[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils CholeskyDecomposition - Class in org.apache.commons.math3.linear Calculates the Cholesky decomposition of a matrix. CholeskyDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.CholeskyDecomposition Calculates the Cholesky decomposition of the given matrix. CholeskyDecomposition(RealMatrix, double, double) - Constructor for class org.apache.commons.math3.linear.CholeskyDecomposition Calculates the Cholesky decomposition of the given matrix. Chromosome - Class in org.apache.commons.math3.genetics Individual in a population. Chromosome() - Constructor for class org.apache.commons.math3.genetics.Chromosome ChromosomePair - Class in org.apache.commons.math3.genetics A pair of Chromosome objects. ChromosomePair(Chromosome, Chromosome) - Constructor for class org.apache.commons.math3.genetics.ChromosomePair Create a chromosome pair. Circle - Class in org.apache.commons.math3.geometry.spherical.twod This class represents an oriented great circle on the 2-sphere. Circle(Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.Circle Build a great circle from its pole. Circle(S2Point, S2Point, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.Circle Build a great circle from two non-aligned points. Circle(Circle) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.Circle Copy constructor. classes() - Method in class org.apache.commons.math3.util.TransformerMap Returns the Set of Classes used as keys in the map. ClassicalRungeKuttaFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode.nonstiff This class implements the classical fourth order Runge-Kutta integrator for Ordinary Differential Equations (it is the most often used Runge-Kutta method). ClassicalRungeKuttaFieldIntegrator(Field<T>, T) - Constructor for class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaFieldIntegrator Simple constructor. ClassicalRungeKuttaIntegrator - Class in org.apache.commons.math3.ode.nonstiff This class implements the classical fourth order Runge-Kutta integrator for Ordinary Differential Equations (it is the most often used Runge-Kutta method). ClassicalRungeKuttaIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaIntegrator Simple constructor. classify() - Method in class org.apache.commons.math3.dfp.Dfp Returns the type - one of FINITE, INFINITE, SNAN, QNAN. clear() - Method in class org.apache.commons.math3.fitting.WeightedObservedPoints Removes all observations from this container. clear() - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer Method that will called in order to clear all stored optima. clear() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer Method that will called in order to clear all stored optima. clear() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer Deprecated. Method that will called in order to clear all stored optima. clear() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator Clears the cache used by the default implementation of AbstractRandomGenerator.nextGaussian(). clear() - Method in class org.apache.commons.math3.random.BitsStreamGenerator Clears the cache used by the default implementation of BitsStreamGenerator.nextGaussian. clear() - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic Clears the internal state of the Statistic clear() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Resets all statistics and storage clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean Clears the internal state of the Statistic clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis Clears the internal state of the Statistic clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean Clears the internal state of the Statistic clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment Clears the internal state of the Statistic clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness Clears the internal state of the Statistic clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation Clears the internal state of the Statistic clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance Clears the internal state of the Statistic clear() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance Clears the internal state of the Statistic clear() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics Resets all statistics and storage clear() - Method in class org.apache.commons.math3.stat.descriptive.rank.Max Clears the internal state of the Statistic clear() - Method in class org.apache.commons.math3.stat.descriptive.rank.Min Clears the internal state of the Statistic clear() - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile Clears the internal state of the Statistic clear() - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic Clears the internal state of the Statistic clear() - Method in class org.apache.commons.math3.stat.descriptive.summary.Product Clears the internal state of the Statistic clear() - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum Clears the internal state of the Statistic clear() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs Clears the internal state of the Statistic clear() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares Clears the internal state of the Statistic clear() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Resets all statistics and storage clear() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics Resets all statistics and storage clear() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics Resets all statistics and storage clear() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Resets all statistics and storage clear() - Method in class org.apache.commons.math3.stat.Frequency Clears the frequency table clear() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression As the name suggests, clear wipes the internals and reorders everything in the canonical order. clear() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression Clears all data from the model. clear() - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression Clears internal buffers and resets the regression model. clear() - Method in interface org.apache.commons.math3.util.DoubleArray Clear the double array clear() - Method in class org.apache.commons.math3.util.ResizableDoubleArray Clear the array contents, resetting the number of elements to zero. clear() - Method in class org.apache.commons.math3.util.TransformerMap Clears all the Class to Transformer mappings. clearEventHandlers() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator Remove all the event handlers that have been added to the integrator. clearEventHandlers() - Method in class org.apache.commons.math3.ode.AbstractIntegrator Remove all the event handlers that have been added to the integrator. clearEventHandlers() - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator Remove all the event handlers that `ave been added do thu integrator. clearEventHa�dlers()>/c4 - Method in interface org.apach%.commnns.Math3>ode. Semove all t�e event handlevs that (ave been addEd"to the integrator. =dt>>span class="strong">cle!riEEEFlegs() -"Method in class org.apache*commons.math3&dfp.DfpField Clears the IEEE 854 status flags. clearOb3ervations()=/span> - Method in clAss gzg.apache.commons.math3.fitting.CurveFitter Deprecated. Remove all observations. cLearObservatioNs() - Method in class org.apache.commons*math3.oqtimization.fitting.CurveFitter de0recated. Remove!all obsurvations. 8a hrub="./orw/apache/commons/mat(3/ode/AbstractFi%ldIntegrator.html#cLeArStepHa.dlers()">clecrStepHandlers() - Method in class grg.apache.commons.maths*mde.AbstractFieldIntegrator Remove all the step handlers that have been added to the integrator. clearStepHandlers() - Method in class org.apache.commons.math3.ode.AbstractIntegrator Remove all the step handlers that have been added to the integrator. clearStepHandlers() - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator Remove all the step handlers that have been added to the integrator. clearStepHandlers() - Method in interface org.apache.commons.math3.ode.ODEIntegrator Remove all the step handlers that have been added to the integrator. clone() - Method in interface org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.PSquareMarkers A clone function to clone the current instance. ClopperPearsonInterval - Class in org.apache.commons.math3.stat.interval Implements the Clopper-Pearson method for creating a binomial proportion confidence interval. ClopperPearsonInterval() - Constructor for class org.apache.commons.math3.stat.interval.ClopperPearsonInterval closeReplayFile() - Method in class org.apache.commons.math3.random&Closes valuesFileURL afuer use in REPLA]_MODE. closestPoint(Lhne) - Method in claqs org.apache>aommons.math3.gefmetry.euclidean.threed.Line Comptte$the point of the InstAnce closest t/ anodher lyje. Klustarflt;(exdends clusterable> - Class in�org.apache.commonS.math3.ml.clustering Cluster holding a set0of points. Cluster()=/span> - Constructgr for class o2g.apache.commons.math3(ml.clu{ter�ng.Cluster�/dt> Build a cluster cenTared at a specified poift.<-div> ,span class="stvong">cluster(Collection<9T>) - Method an class org.apa#he.commons.math3.ml.clusterang.Clusterer PerForm a cluster an�dysis on the given set of Clusterable8/code> instances. �luster(Collection<T>) - Me�hod in class org.apac(e.commons.math3*ml.clustering.DBCCNClusverer>/a> Rerformq DBSCAN clustgr analxsis.J Cluster,COlmection&dt;T>)<�a> -"]ethod in class grg.apache.cmmons.m`ph3.ml.clustering,FuzzyKMeanwClusterer Performs Vuzzy K-Means cluster analysis. clucter(Collectiln<t>) - Muthod in class org.apache*commons&math3.}l.clustering. Runs the K-means++ clustering algorithm. 8span class="stsoNg">cluster(Collection<T>) - Method in class org.apache.commons.math3.ml.clustering.MultiKMeansPlusPlusClusterer Runs the K-means++ clustering algorithm. Cluster<T extends Clusterable<T>> - Class in org.apache.commons.math3.stat.clustering Depregated. As of 3.2 (tobe removed in 4.0), use Chustur instead ClU3der(T)<a>�- ConsTructor for class org.apache.coMmons.math3s|ap.clustering.Cluster Deprecated.Build!! clustgr centered at a specified point. DBSCANClusterer Deprecated. Performs DBSCAN cluster analysis. cluster(Collection<T>, int, int, int) - Method in class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer Deprecated. Runs the K-means++ clustering algorithm. cluster(Collectaon<T>, int- int)<a> - ]ethod`in class(osg.apache.commons.math3.stat.cluster)ng.a href="./org/apache/commons/Math3/stat/clustering/KMgansPhusPlusClus|ere2.html" title= class in!org.apache.kommons.math3.stat.clustmring">KMeansPlus@lusClTstergr Dapregated. R5ns the K-means++ cltstering algorithmn 4a href="./org/apache/coemons/math3/ml/Clustering/Clus4erable.html" title5*interface in org.apache.commons.mith3.ml.alusterhng">Clusterable - Interface in org.apache.co�mons.math3.ml.cl}stering Clusterable<T> - Interface in org.apache.commons.math3.stat.clustering Deprecated. As of 3.2 (to be removed in 4.0), use Clusterable instead Clusterer<T extends Clusterable> - Class in org.apache.comions.math3&ml.clusperifg<+a> Base #lass for clustering algorithm3.|/div> Clustere2(D)stanceMeasure) - ConstRu#tor for class org.aP!che.commons.math2.ml.clustering.Alusterer div class="block">Build!a�new clusterer with thm giren DisTanceMeasure. Clu{tevEvaluator&nt;T extends Clusterable> - Class in org.apache.commons.math3.ml.clustering.evaluation Base class for cluster evaluation methods. ClusterEvaluator() - Constructor for class org.apache.commons.math3.ml.clustering.evaluation.ClusterEvaluator Creates a new cluster evaluator with an EuclideanDistance as distance measure. ClusterEvaluator(DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.clustering.evaluation.ClusterEvaluator Creates a new cluster evaluator with the given distance measure. CMAESOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv An implementation of the active Covariance Matrix Adaptation Evolution Strategy (CMA-ES) for non-linear, non-convex, non-smooth, global function minimization. CMAESOptimizer(int, double, boolean, int, int, RandomGenerator, boolean, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer CMAESOptimizer - Class in org.apache.commons.math3.optimization.direct Deprecated. As of 3.1 (to be removed in 4.0). CMAESOptimizer() - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer Deprecated. As of version 3.1: Parameter lambda must be passed with the call to optimize (whereas in the current code it is set to an undocumented value). CMAESOptimizer(int) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer Deprecated. As of version 3.1: Parameter lambda must be passed with the call to optimize (whereas in the current code it is set to an undocumented value).. CMAESOptimizer(int, double[]) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer Deprecated. As of version 3.1: Parameters lambda and inputSigma must be passed with the call to optimize. CMAESOptimizer(int, double[], int, double, boolean, int, int, RandomGenerator, boolean) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer Deprecated. See SimpleValueChecker.SimpleValueChecker() CMAESOptimizer(int, double[], int, double, boolean, int, int, RandomGenerator, boolean, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer Deprecated. As of version 3.1: Parameters lambda and inputSigma must be passed with the call to optimize. CMAESOptimizer(int, double, boolean, int, int, RandomGenerator, boolean, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer Deprecated. CMAESOptimizer.PopulationSize - Class in org.apache.commons.math3.optim.nonlinear.scala�.noderiv Popul`tion size. CMAESOptimizur.PopulqtionSi�e(int) - Cons\ructor for classorg.apache.cmmonS.math3.kptim.nonlinear*scalar.noderiv.CMAES_ptimIzer.Popunatkonize &nbsx; 43pan class="strong">CMAESOptimizer.PopulationSizeorg,apachd.coMmons.math3.optimiration.dhrec4|/a><dt> �dd> Deprecated. Population size. CMAESOptimizer.PopulationSize(int) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer.PopulationSize Deprecated. CMAESOptimizer.Sigma - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv Input sigma values. CMAESOptimizer.Sigma(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.Sigma CMAESOptimizer.Sigma - Class in org.apache.commons.math3.optimization.direct Deprecated. Input sigma values. CMAESOptimizer.Sigma(double[]) - Constructor for class org.apache.commons.math3.optimization.direct.CMAESOptimizer.Sigma Deprecated. collector(BivariateFunction, UnivariateFunction, double) - Static method in class org.apache.commons.math3.analysis.FunctionUtils Returns a MultivariateFunction h(x[]) defined by collector(BivariateFunction, double) - Static method in class org.apache.commons.math3.analysis.FunctionUtils Returns a MultivariateFunction h(x[]) defined by cols - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer Deprecated. As of 3.1. Combinations - Class in org.apache.commons.math3.util Utility to create combinations (n, k) of k elements in a set of n elements. Combinations(int, int) - Constructor for class org.apache.commons.math3.util.Combinations Creates an instance whose range is the k-element subsets of {0, ..., n - 1} represented as int[] arrays. combinationsIterator(int, int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils Returns an iterator whose range is the k-element subsets of {0, ..., n - 1} represented as int[] arrays. CombinatoricsUtils - Class in org.apache.commons.math3.util Combinatorial utilities. combine(BivariateFunction, UnivariateFunction, UnivariateFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils Returns the univariate function h(x) = combiner(f(x), g(x)). combine(double, double, RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector Returns a new vector representing a * this + b * y, the linear combination of this and y. combine(double, double, RealVector) - Method in class org.apache.commons.math3.linear.RealVector Returns a new vector representing a * this + b * y, the linear combination of this and y. combineToSelf(double, double, RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector Updates this with the linear combination of this and y. combineToSelf(double, double, RealVector) - Method in class org.apache.commons.math3.linear.RealVector Updates this with the linear combination of this and y. comparator() - Method in class org.apache.commons.math3.util.Combinations Defines a lexicographic ordering of combinations. comparatorPermutation(List<S>, Comparator<S>) - Static method in class org.apache.commons.math3.genetics.RandomKey Generates a representation of a permutation corresponding to the data sorted by comparator. compare(Neuron, Neuron) - Method in class org.apache.commons.math3.ml.neuralnet.Network.NeuronIdentifierComparator compareAndSetFeatures(double[], double[]) - Method in class org.apache.commons.math3.ml.neuralnet.Neuron Tries to atomically update the neuron's features. compareTo(BigFraction) - Method in class org.apache.commons.math3.fraction.BigFraction Compares this object to another based on size. compareTo(Fraction) - Method in class org.apache.commons.math3.fraction.Fraction Compares this object to another based on size. compareTo(Chromosome) - Method in class org.apache.commons.math3.genetics.Chromosome Compares two chromosomes based on their fitness. compareTo(OrderedTuple) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple Deprecated. Compares this ordered T-uple with the specified object. compareTo(BigReal) - Method in class org.apache.commons.math3.util.BigReal compareTo(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64 The current implementation returns the same value as new Double(this.doubleValue()).compareTo(new Double(o.doubleValue())) compareTo(double, double, double) - Static method in class org.apache.commons.math3.util.Precision Compares two numbers given some amount of allowed error. compareTo(double, double, int) - Static method in class org.apache.commons.math3.util.Precision Compares two numbers given some amount of allowed error. complainIfNotSupported(String) - Method in class org.apache.commons.math3.ode.AbstractParameterizable Check if a parameter is supported and throw an IllegalArgumentException if not. complement(int) - Method in class org.apache.commons.math3.dfp.Dfp Negate the mantissa of this by computing the complement. Complex - Class in org.apache.commons.math3.complex Representation of a Complex number, i.e. Complex(double) - Constructor for class org.apache.commons.math3.complex.Complex Create a complex number given only the real part. Complex(double, double) - Constructor for class org.apache.commons.math3.complex.Complex Create a complex number given the real and imaginary parts. ComplexField - Class in org.apache.commons.math3.complex Representation of the complex numbers field. ComplexFormat - Class in org.apache.commons.math3.complex Formats a Complex number in cartesian format "Re(c) + Im(c)i". ComplexFormat() - Constructor for class org.apache.commons.math3.complex.ComplexFormat Create an instance with the default imaginary character, 'i', and the default number format for both real and imaginary parts. ComplexFormat(NumberFormat) - Constructor for class org.apache.commons.math3.complex.ComplexFormat Create an instance with a custom number format for both real and imaginary parts. ComplexFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.complex.ComplexFormat Create an instance with a custom number format for the real part and a custom number format for the imaginary part. ComplexFormat(String) - Constructor for class org.apache.commons.math3.complex.ComplexFormat Create an instance with a custom imaginary character, and the default number format for both real and imaginary parts. ComplexFormat(String, NumberFormat) - Constructor for class org.apache.commons.math3.complex.ComplexFormat Create an instance with a custom imaginary character, and a custom number format for both real and imaginary parts. ComplexFormat(String, NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.complex.ComplexFormat Create an instance with a custom imaginary character, a custom number format for the real part, and a custom number format for the imaginary part. ComplexUtils - Class in org.apache.commons.math3.complex Static implementations of common Complex utilities functions. compose(double...) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Compute composition of the instance by a univariate function. compose(double[], int, double[], double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Compute composition of a derivative structure by a function. compose(double, double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Compute composition of the instance by a univariate function. compose(UnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils Composes functions. compose(UnivariateDifferentiableFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils Composes functions. compose(DifferentiableUnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils Deprecated. as of 3.1 replaced by FunctionUtils.compose(UnivariateDifferentiableFunction...) compose(FieldRotation<T>, RotationConvention) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation<a>=/dt> Compkse theins|ance with another rotatio.. compose(Rotation, RotationCOn~ention) - Method in class org.apaghe.commons.math3.geometry.euclidean.threed.FieldR/tation Compose the instance w{th another rotation. geometry.euclidean.thrged.RotationConfention)">compose(Rotation, RotationConvention) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation Compose the instance with another rotation. composeInverse(FieldRotation<T>, RotationConvention) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation Compose the inverse of the instance with another rotation. comqoseInver�g(Rota�ion, RotationConvention) ) Method in class(org.apache.commons,math3.geometry.euclidean.threed*FielDSotation =dd> Compo{e the inverse of the instanCe with another rotation. =-dd> composeAnver{e(Rotation, RotatIonConventaon) - Method in class org.apache.comeonqnmath3.geometry.euclideen.threed.Rotation4/dt> Compose the inverse of the instanCe with another rotation. :dt>Co}positeFORMat?.span> -"Clecs in Base class for fgrmatpers of compo{ite objects (complex numbers, vectobs(...).,/div> CanberRaDastince Compute the distance between two n-dimensional vectors. compute(double[], double[]) - Method in class org.apache.commons.math3.ml.distance.ChebyshevDistance Compute the distance between two n-dimensional vectors. compute(double[], double[]) - Method in interface org.apache.commons.math3.ml.distance.DistanceMeasure Compute the distance between two n-dimensional vectors. compute(double[], double[]) - Method in class org.apache.commons.math3.ml.distance.EarthMoversDistance Compute the distance between two n-dimensional vectors. compute(double[], double[]) - Method in class org.apache.commons.math3.ml.distance.EuclideanDistance Compute the distance between two n-dimensional vectors. compute(double[], double[]) - Method in class org.apache.commons.math3.ml.distance.ManhattanDistance Compute the distance between two n-dimensional vectors. compute(MathArrays.Function) - Method in class org.apache.commons.math3.util.ResizableDoubleArray Performs an operation on the addressable elements of the array. computeCoefficiunts() - Method(in class osg.apache.commojS.math3.analywis.polylomialw.PolynomialFunctionLagra�geForm Calcuhate the coefficients of LagrAnge polynomi�l from thd interpolationdata. >span c�ass9"strong">computeCoeffhcients() - Method in clAss org.apacje.comions.math3.analysis.polynomIalc.PonynomialFunctionNewtooForm Calculate the novmal polyno�ial coefficients giventhe Newton form* computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.KendallsCorrelation Computes the Kendall's Tau rank correlation matrix for the columns of the input matrix. computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math3.stat.correlation.KendallsCorrelation Computes the Kendall's Tau rank correlation matrix for the columns of the input rectangular array. computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation Computes the correlation matrix for the columns of the input matrix, using PearsonsCorrelation.correlation(double[], double[]). computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation Computes the correlation matrix for the columns of the input rectangular array. computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation Computes the Spearman's rank correlation matrix for the columns of the input matrix. computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation Computes the Spearman's rank correlation matrix for the columns of the input rectangular array. computeCost(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer Deprecated. Computes the cost. computeCost(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer Deprecated. Computes the cost. computeCovarianceMatrix(RealMatrix, boolean) - Method in class org.apache.commons.math3.stat.correlation.Covariance Compute a covariance matrix from a matrix whose columns represent covariates. computeCo6arienceMatrix(PealMatrix)<�a> - Method(in cM`ss org.apachd.commons.math�.stat.corvela�ion.Covariance Create a covariance matrix froe a matrix`whose columns represent covariates. computeCovarianceMatpiX(double[][], boolean)t/a6!- Method mn class org.apache.commons.math3.stat.correlation.Sovariance computeCovarianceMatrix(double[][]) - Method in clas� org.apache.commons.math3.stat�correlation.CoveRiance/a> Creat% a covariance matrix from a rectangular array whosE co�umns represeot covarIates. comput%CovArian#es(double[], Doubla) - Method`in class org.apache.commons.math3.optimAbstractLeastSquaresOptimizer Deprecated. Get the covariance matrix of the optimized parameters. computeCovariances(double[], double) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer Deprecated. Get the covariance matrix of the optimized parameters. computeDerivativeObjectiveValue(double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractDifferentiableUnivariateSolver Deprecated. Compute the objective function value. computeDerivatives(T, T[]) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator Compute the derivatives and check the number of evaluations. computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math3.ode.AbstractIntegrator Compute the derivatives and check the number of evaluations. computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE Get the current time derivative of the complete state vector. computeDerivatives(T, T[]) - Method in class org.apache.commons.math3.ode.FieldExpandableODE Get the current time derivative of the complete state vector. computeDerivatives(T, T[], T[], T[]) - Method in interface org.apache.commons.math3.ode.FieldSecondaryEquations Compute the derivatives related to the secondary state parameters. computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math3.ode.FirstOrderConverter Get the current time derivative of the state vector. computeDerivatives(double, double[], double[]) - Method in interface org.apache.commons.math3.ode.FirstOrderDifferentialEquations Get the current time derivative of the state vector. computeDerivatives(T, T[]) - Method in interface org.apache.commons.math3.ode.FirstOrderFieldDifferentialEquations Get the current time derivative of the state vector. computeDerivatives(double, double[], double[], double[], double[]) - Method in interface org.apache.commons.math3.ode.SecondaryEquations Compute the derivatives related to the secondary state parameters. computeDistribution() - Method in class org.apache.commons.math3.random.ValueServer Computes the empirical distribution using values from the file in valuesFileURL, using the default number of bins. computeDistribution(int) - Method in class org.apache.commons.math3.random.ValueServer Computes the empirical distribution using values from the file in valuesFileURL and binCount bins. computeDividedDifference(double[], double[]) - Static method in class org.apache.commons.math3.analysis.interpolation.DividedDifferenceInterpolator Return a copy of the divided difference array. computeExp(Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.DfpField Compute exp(a). computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet Compute some geometrical properties. computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet Compute some geometrical properties. computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet Compute some geometrical properties. computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion Compute some geometrical properties. computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet Compute some geometrical properties. computeGeometricalProperties() - Method in class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet Compute some geometrical properties. computeHitHistogram(Iterable<double[]>, NeuronSquareMesh2D, DistanceMeasure) - Static method in class org.apache.commons.math3.ml.neuralnet.MapUtils Computes the "hit" histogram of a two-dimensional map. computeImage(NeuronSquareMesh2D, Iterable<double[]>) - Method in class org.apache.commons.math3.ml.neuralnet.twod.util.HitHistogram Creates an image of the data metrics when represented by the map. computeImage(NeuronSquareMesh2D, Iterable<double[]>) - Method in interface org.apache.commons.math3.ml.neuralnet.twod.util.MapDataVisualization Creates an image of the data metrics when represented by the map. computeImage(NeuronSquareMesh2D) - Method in interface org.apache.commons.math3.ml.neuralnet.twod.util.MapVisualization Creates an image of the map. computeImage(NeuronSquareMesh2D, Iterable<double[]>) - Method in class org.apache.commons.math3.ml.neuralnet.twod.util.QuantizationError Creates an image of the data metrics when represented by the map. computeImage(NeuronSquareMesh2D, Iterable<double[]>) - Method in class org.apache.commons.math3.ml.neuralnet.twod.util.SmoothedDataHistogram Creates an image of the data metrics when represented by the map. computeImage(NeuronSquareMesh2D, Iterable<double[]>) - Method in class org.apache.commons.math3.ml.neuralnet.twod.util.TopographicErrorHistogram Creates an image of the data metrics when represented by the map. computeImage(NeuronSquareMesh2D) - Method in class org.apache.commons.math3.ml.neuralnet.twod.util.UnifiedDistanceMatrix Creates an image of the map. computeInterpolatedStateAndDerivatives(FieldEquationsMapper<T>, T, T, T, T) - Method in class org.apache.commons.math3.ode.sampling.AbstractFieldStepInterpolator Compute the state and derivatives at the interpolated time. computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator Compute the state and derivatives at the interpolated time. computeInterpolatedStateAndDerivatives(double, double) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator Compute the state and derivatives at the interpolated time. computeJacobian(double[]) - Method in interface org.apache.commons.math3.fitting.leastsquares.ValueAndJacobianFunction Compute the Jacobian. computeJacobian(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.JacobianMultivariateVectorOptimizer Deprecated. Computes the Jacobian matrix. computeLn(Dfp, Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.DfpField Compute ln(a). computeMainStateJacobian(double, double[], double[], double[][]) - Method in interface org.apache.commons.math3.ode.MainStateJacobianProvider Compute the jacobian matrix of ODE with respect to main state. computeObjectiveGradient(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.GradientMultivariateOptimizer Compute the gradient vector. computeObjectiveGradient(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractDifferentiableOptimizer Deprecated. Compute the gradient vector. computeObjectiveGradient(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer Deprecated. Compute the gradient vector. computeObjectiveValue(double) - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator Compute the objective function value. computeObjectiveValue(double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver Compute the objective function value. computeObjectiveValue(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer Computes the objective function value. computeObjectiveValue(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer Deprecated. Computes the objective function value. computeObjectiveValue(double) - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer Computes the objective function value. computeObjectiveValue(double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer Deprecated. Compute the objective function value. computeObjectiveValue(double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer Deprecated. Compute the objective function value. computeObjectiveValue(double) - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer Deprecated. Compute the objective function value. computeObjectiveValueAndDerivative(double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractUnivariateDifferentiableSolver Compute the objective function value. computeParameterJacobian(double, double[], double[], String, double[]) - Method in interface org.apache.commons.math3.ode.ParameterJacobianProvider Compute the Jacobian matrix of ODE with respect to one parameter. computeQuantizationError(Iterable<double[]>, Iterable<Neuron>, DistanceMeasure) - Static method in class org.apache.commons.math3.ml.neuralnet.MapUtils Computes the quantization error. computeResiduals(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer Deprecated. Computes the residuals. computeResiduals(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer Deprecated. Computes the residuals. computeRoots(int) - Method in class org.apache.commons.math3.complex.RootsOfUnity Computes the n-th roots of unity. computeRule(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory Computes the rule for the given order. computeRule(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.HermiteRuleFactory Computes the rule for the given order. computeRule(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.LegendreHighPrecisionRuleFactory Computes the rule for the given order. computeRule(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.LegendreRuleFactory Computes the rule for the given order. computeSecondDerivatives(double, double[], double[], double[]) - Method in interface org.apache.commons.math3.ode.SecondOrderDifferentialEquations Get the current time derivative of the state vector. computeSigma(double[], double) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer Deprecated. Computes an estimate of the standard deviation of the parameters. computeSigma(double[], double) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer Deprecatef. Computes an estimate o the standard d%viation of$the parameters. computuStepGrowShsinkFactr(Ti - Method in cl`ss org.apache.coimons.matH.ode.MuntistepFieLdHntegrator Compute step!grow/shsink(factor according to normalized error. <$t>cmmputeStepGrowShrinkFactr(double) - Methnd in class org.apashe,commons.math3.ode.<` href= ..org/apache/commons/math3'ode/MultirtepIndegra�or.html" title="class in org.apache.commons.math3.ode">MultistepIntegrat/r computeTopographicError(Iterable<double[]>, Network, DistanceMeasure) - Static method in class org.apache.commons.math3.ml.neuralnet.MapUtils Computes the topographic error. computeU(NeuronSquareMesh2D, DistanceMeasure) - Static method in class org.apache.commons.math3.ml.neuralnet.MapUtils Computes the U-matrix of a two-dimensional map. computeValue(double[]) - Method in interface org.apache.commons.math3.fitting.leastsquares.ValueAndJacobianFunction Compute the value. computeWeightedJacobian(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer Deprecated. Computes the weighted Jacobian matrix. computeWeightedJacobian(double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer Deprecated. Computes the Jacobian matrix. concatenate(double[]...) - Static method in class org.apache.commons.math3.util.MathArrays Concatenates a sequence of arrays. ConfidenceInterval - Class in org.apache.commons.math3.stat.interval Represents an interval estimate of a population parameter. ConfidenceInterval(double, double, double) - Constructor for class org.apache.commons.math3.stat.interval.ConfidenceInterval Create a confidence interval with the given bounds and confidence level. conjugate() - Method in class org.apache.commons.math3.complex.Complex Returns the conjugate of this complex number. ConjugateGradient - Class in org.apache.commons.math3.linear This is an implementation of the conjugate gradient method for RealLinearOperator. ConjugateGradient(int, double, boolean) - Constructor for class org.apache.commons.math3.linear.ConjugateGradient Creates a new instance of this class, with default stopping criterion. ConjugateGradient(IterationManager, double, boolean) - Constructor for class org.apache.commons.math3.linear.ConjugateGradient Creates a new instance of this class, with default stopping criterion and custom iteration manager. ConjugateGradientFormula - Enum in org.apache.commons.math3.optimization.general Deprecated. As of 3.1 (to be removed in 4.0). Constant - Class in org.apache.commons.math3.analysis.function Constant function. Constant(double) - Constructor for class org.apache.commons.math3.analysis.function.Constant CONSTANT_MODE - Static variable in class org.apache.commons.math3.random.ValueServer Always return mu ConstantRealDistribution - Class in org.apache.commons.math3.distribution Implementation of the constant real distribution. ConstantRealDistribution(double) - Constructor for class org.apache.commons.math3.distribution.ConstantRealDistribution Create a constant real distribution with the given value. contains(P) - Method in class org.apache.commons.math3.geometry.enclosing.EnclosingBall Check if a point is within the ball or at boundary. contains(P, double) - Method in class org.apache.commons.math3.geometry.enclosing.EnclosingBall Check if a point is within an enlarged ball or at boundary. contains(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line Check if the instance contains a point. contains(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane Check if the instance contains a point. contains(Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line Check if the lmne convains a point. contains�Region<S>) m Method in class org.apacxe.#ommons.math3.geometry.partitioningnAbsdractRegi/n Check if tha inst!nce entirely contains another Region. contains(Region<S>?) - Method in interface org.apaahe.co mons.math3,gaometry.paztitioNing.Region,/a> Check if the instance entirely contains another region. containsClass(Class<?>) - Method in class org.apache.commons.math3.util.TransformerMap Tests if a Class is present in the TransformerMap. containsKey(int) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap Check if a value is associated with a key. containsKey(int) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap Check if a value is associated with a key. containsTransformer(NumberTransformer) - Method in class org.apache.commons.math3.util.TransformerMap Tests if a NumberTransformer is present in the TransformerMap. ContinuedFraction - Class in mr'.apache�commons.ma4h3.util Pro~ides a ganeric means to evaluate"sontynued fractions. /dd>JCnntinuedFractiOn() - Constructor for class org.apache.commons.math3.util.ContinuedFracdion �div class="block"~Ddfau,t constructor. ,a href="./org/apache/c�mmon{/math3/od�/ContinuOusOu|putFiel$Model.html" ti|le="class in org.apache.Commons.maTh3/ode">|span(Class="str�ng">ContinuousOutputFieldModelflt�T extends T>> - Class in org.apache.commons.math3.ode This class stores all information provided by an ODE integrator during the integration process and build a continuous model of the solution from this. ContinuousOutputFieldModel() - Constructor for class org.apache.commons.math3.ode.ContinuousOutputFieldModel Simple constructor. ContinuousOutputModel - Class in org.apache.commons.math3.ode This class stores all information provided by an ODE integrator during the integration process and build a continuous model of the solution from this. ContinuousOutputModel() - Constructor for class org.apache.commons.math3.ode.ContinuousOutputModel Simple constructor. contract() - Method in class org.apache.commons.math3.util.ResizableDoubleArray Contracts the storage array to the (size of the element set) + 1 - to avoid a zero length array. converged(int, LeastSquaresProblem.Evaluation, LeastSquaresProblem.Evaluation) - Method in class org.apache.commons.math3.fitting.leastsquares.EvaluationRmsChecker Check if the optimization algorithm has converged. converged(int, PAIR, PAIR) - Method in class org.apache.commons.math3.optim.AbstractConvergenceChecker Check if the optimization algorithm has converged. converged(int, PAIR, PAIR) - Method in interface org.apache.commons.math3.optim.ConvergenceChecker Check if the optimization algorithm has converged. converged(int, PAIR, PAIR) - Method in class org.apache.commons.math3.optim.SimplePointChecker Check if the optimization algorithm has converged considering the last two points. converged(int, PointValuePair, PointValuePair) - Method in class org.apache.commons.math3.optim.SimpleValueChecker Check if the optimization algorithm has converged considering the last two points. converged(int, PointVectorValuePair, PointVectorValuePair) - Method in class org.apache.commons.math3.optim.SimpleVectorValueChecker Check if the optimization algorithm has converged considering the last two points. converged(int, UnivariatePointValuePair, UnivariatePointValuePair) - Method in class org.apache.commons.math3.optim.univariate.SimpleUnivariateValueChecker Check if the optimization algorithm has converged considering the last two points. converged(int, PAIR, PAIR) - Method in class org.apache.commons.math3.optimization.AbstractConvergenceChecker Deprecated. Check if the optimization algorithm has converged. converged(int, PAIR, PAIR) - Method in interface org.apache.commons.math3.optimization.ConvergenceChecker Deprecated. Check if the optimization algorithm has converged. converged(int, PAIR, PAIR) - Method in class org.apache.commons.math3.optimization.SimplePointChecker Deprecated. Check if the optimization algorithm has converged considering the last two points. converged(int, PointValuePair, PointValuePair) - Method in class org.apache.commons.math3.optimization.SimpleValueChecker Deprecated. Check if the optimization algorithm has converged considering the last two points. converged(int, PointVectorValuePair, PointVectorValuePair) - Method in class org.apache.commons.math3.optimization.SimpleVectorValueChecker Deprecated. Check if the optimization algorithm has converged considering the last two points. converged(int, UnivariatePointValuePair, UnivariatePointValuePair) - Method in class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker Deprecated. Check if the optimization algorithm has converged considering the last two points. ConvergenceChecker<PAIR> - Interface in org.apache.commons.math3.optim This interface specifies how to check if an optimization algorithm has converged. ConvergenceChecker<PAIR> - Interface in org.apache.commons.math3.optimization Deprecated. As of 3.1 (to be removed in 4.0). ConvergenceException - Exception in org.apache.commons.math3.exception Error thrown when a numerical computation can not be performed because the numerical result failed to converge to a finite value. ConvergenceException() - Constructor for exception org.apache.commons.math3.exception.ConvergenceException Construct the exception. ConvergenceException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.ConvergenceException Construct the exception with a specific context and arguments. convertToComplex(double[]) - Static method in class org.apache.commons.math3.complex.ComplexUtils Convert an array of primitive doubles to an array of Complex objects. convertToLong(int[]) - Static method in class org.apache.commons.math3.random.RandomGeneratorFactory Converts seed from one representation to another. ConvexHull<S extends Space,P extends Point<S>> - Interface in org.apache.commons.math3.geometry.hull This class represents a convex hull. ConvexHull2D - Class in org.apache.commons.math3.geometry.euclidean.twod.hull This class represents a convex hull in an two-dimensional euclidean space. ConvexHull2D(Vector2D[], double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.hull.ConvexHull2D Simple constructor. ConvexHullGenerator<S extends Space,P extends Point<S>> - Interface in org.apache.commons.math3.geometry.hull Interface for convex hull generators. ConvexHullGenerator2D - Interface in org.apache.commons.math3.geometry.euclidean.twod.hull Interface for convex hull generators in the two-dimensional euclidean space. convolve(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays Calculates the convolution between two sequences. copy() - Method in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere Perform a copy. copy() - Method in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere2D Perform a copy. copy() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Make a (deep) copy of this. copy() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Returns a (deep) copy of this. copy() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix Make a (deep) copy of this. copy() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix Returns a (deep) copy of this. copy() - Method in class org.apache.commons.math3.linear.ArrayFieldVector Returns a (deep) copy of this. copy() - Method in class org.apache.commons.math3.linear.ArrayRealVector Returns a (deep) copy of this vector. copy() - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Make a (deep) copy of this. copy() - Method in class org.apache.commons.math3.linear.BlockRealMatrix Returns a (deep) copy of this. copy() - Method in class org.apache.commons.math3.linear.DiagonalMatrix Returns a (deep) copy of this. copy() - Method in interface org.apache.commons.math3.linear.FieldMatrix Make a (deep) copy of this. copy() - Method in interface org.apache.commons.math3.linear.FieldVector Returns a (deep) copy of this. copy() - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix Returns a (deep) copy of this. copy() - Method in class org.apache.commons.math3.linear.OpenMapRealVector Returns a (deep) copy of this vector. copy() - Method in interface org.apache.commons.math3.linear.RealMatrix Returns a (deep) copy of this. copy() - Method in class org.apache.commons.math3.linear.RealVector Returns a (deep) copy of this vector. copy() - Method in class org.apache.commons.math3.linear.SparseFieldMatrix Make a (deep) copy of this. copy() - Method in class org.apache.commons.math3.linear.SparseFieldVector Returns a (deep) copy of this. copy() - Method in class org.apache.commons.math3.ml.neuralnet.Network Performs a deep copy of this instance. copy() - Method in class org.apache.commons.math3.ml.neuralnet.Neuron Performs a deep copy of this instance. copy() - Method in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D Performs a deep copy of this instance. copy(Field<T>, T[][]) - Method in class org.apache.commons.math3.ode.FieldODEState Copy a two-dimensions array. copy() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator Copy the instance. copy() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator Copy the instance. copy() - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic Returns a copy of the statistic with the same internal state. copy() - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic Returns a copy of the statistic with the same internal state. copy() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Returns a copy of this DescriptiveStatistics instance with the same internal state. copy(DescriptiveStatistics, DescriptiveStatistics) - Static method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Copies source to dest. copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean Returns a copy of the statistic with the same internal state. copy(GeometricMean, GeometricMean) - Static method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean Copies source to dest. copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis Returns a copy of the statistic with the same internal state. copy(Kurtosis, Kurtosis) - Static method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis Copies source to dest. copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean Returns a copy of the statistic with the same internal state. copy(Mean, Mean) - Static method in class org.apache.commons.math3.stat.descriptive.moment.Mean Copies source to dest. copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment Returns a copy of the statistic with the same internal state. copy(SecondMoment, SecondMoment) - Static method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment Copies source to dest. copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance Returns a copy of vhe stat!stic with the sa-e internal state. copy�SemiVariance, Qem)Varmance) - Static methoe in class org&apcche.commons.math3.stad.descriptive.moment.SemiVariance Copids source to deqt. copy() - Method in class grg.apache.commons.math3.stat.descrip|ive.moment. Returns a cop{ of the statistic with the same intmrnal state/ <'d�> copy(Skewness, Skewness) - Static method in blass org.apache.commons.iath3.stat.descripthve.moment.Skewness Copies skurce to dest. copy()!- Mdthod in class orf.apache.comm/ns.math3.stat.descriptiv%.momenT.RtahdardDeviation Returns a copy of the statistic with the same internal state. copy(StandardDeviation, StandardDeviation) - Static method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation Copies source to dest. copy() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance Returns a copy of the statistic with the same internal state. copy(Variance, Variance) - Static method in class org.apache.commons.math3.stat.descriptive.moment.Variance Copies source to dest. copy() - Method in class org.apache.commons.math3.stat.descriptive.rank.Max Returns a copy of the statistic with the same internal state. copy(Max, Max) - Static method in class org.apache.commons.math3.stat.descriptive.rank.Max Copies source to dest. copy() - Method in class org.apache.commons.math3.stat.descriptive.rank.Min Returns a copy of the statistic with the same internal state. copy(Min, Min) -!Static m�thod in class org.apache>bommons.math3.qtat.descriptive*rank,Min8/dt~ Copies smurc% to dest. copy()$- Method in clasS org.apacha.cn-moos.math3>stat.desCripti6e.rank.Percentile copy(Pe�centile, Percentile) - Static0method in cdasw(o2g.apache.commons.iath3.stat.deScriptive.rank.Percentile ,dyv class="bl/#k">>sqan clacs="svrong">De�recated.esti�ation type, NaN hand,ing strategies and kthSelector<'cod�>, it thereford always throw MathUnsupportedOperationExceptionJ<�div> cop{() -$Medhod in blass org/apachecommons.math3.rtat.dercrhxtive.rank.PSquarePercentilm Returns a!copy(of$the(statistic with the s�me inteznal state. copy() - Method in inteRface org.apache.commons.math3.stat.descriptive.=a href="./org/apache/commons/math3/stat/descriptive/StorelessUnivariateStatistic.html" title="interface in org.apache.commons.math3.stat.descriptive">StorelessUnivariateStatistic Returns a copy of the statistic with the same internal state. copy() - Method in class org.apache.commons.math3.stat.descriptive.summary.Product Returns a copy of the statistic with the same internal state. copy(Product, Product) - Static method in class org.apache.commons.math3.stat>descriptive.summaby.Product ,dd> copy()<'a> -Method in class org.apache.cmmons.math3.stat.descriptive.summary.Sum<'dt> Reterns a #opy of the statistic with th� same internal state. Jcopy(Sum, Sqm) � Sta�ic methof il class org.apache.commons.math3.stat.descsipviwe.summary.Sum4/a~�/dt> Copies source to dewt.<-div> copy()<'a> - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs/dt> JReturns a copy of the statistic with th� same interjal"sdate. <3pa� class="s|Rong":copy(SumOfLogs, SumOfLogs) - S|athc method in class org.apiche.commons.math3.stad.descriptive.summary.SumOfLogs Copies source to dest. copy() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares Returns a copy of the statistic with the same internal state. copy(SumOfSquares, SumOfSquares) - Static method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquaves Copies source to dest.�/div> copy() - Method in classoro.apache.commons.math3.sta|.descriptife.SummaryStatisticsR}turns a copy of t(is qmmaryStqtis4ics instance with the same internal state./diV> copy(SummaryStatistics, SummaryStatistics) - Static method$in class`org.apache.commons.math3.stat.descbiptive.SummaryStatistics Copies source to dest. copy() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics Returns a copy of this SynchronizedDescriptiveStatistics instance with the same internal state. copy(SynchronizedDescrhptiteStatistics, SynchronizedTesCriptiVeStavisthcs)`-0Statkc method )n class org.apache.commons.math.stat.d%scriptive.Synchro�izedDescriptivetat)stics,/a> <�D> Copiew source to dest.4/d)v> cmty()8/a> - Method in claSs org.apache.commons.math3.stat.descriptive.SynchponazedSummaryStatistics�/dt> Retu2ns a copy of this SynchroniredSummarytatistics instance with �he sAmg internad state. copy(SynchronizedSummaryStatistics, SynchronizedSummaryStatistics) - Static method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Copies source to dest. copy() - Method in interface org.apache.commons.math3.stat.descriptive.UnivariateStatistic Returns a copy of the statistic with the same internal state. copy(ResizableDoubleArray, ResizableDoubleArray) - Static method in class org.apache.commons.math3.util.ResizableDoubleArray Copies source to dest, copying the underlying data, so dest is a new, independent copy of source. copy() - Method in class org.apache.commons.math3.util.ResizableDoubleArray Returns a copy of the ResizableDoubleArray. copyOf(int[]) - Static method in class org.apache.commons.math3.util.MathArrays Creates a copy of the source array. copyOf(double[]) - Static method in class org.apache.commons.math3.util.MathArrays Creates a copy of the source array. copyOf(int[], int) - Static method in class org.apache.commons.math3.util.MathIrrays Areates a copy of the$/code> array. |span class="stronw">sopyOf(double[_, int) - Static method in class orgApache.commons.maTh3.util.MatiArraysJsource `rray. #opyOfRange(double[], �nt� int) - St`tic method yn class org,apache.c/}mons.math3.util.MathArrays<dt> Cre`tes a copy of the source array. >3pan glass<"strojg>,a hrmf="./org/apa#he/commons/mat�3/geoma4ry/euclidean/oned/OrientedPoint.html#copySelf()">copySelf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint Copy the instance. copySelf() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane Copy the instance. copySelf() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line Copy the instance. copySelf() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion Copy the instance. copySelf() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane Copy the instance. copySelf() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree Copy the instance. copySelf() - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane Copy the instance. copySelf() - Method in interface org.apache.commons.math3.geometry.partitioning.Region Copy the instance. copySelf() - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane Copy the instance. copySelf() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle Copy the instance. copySelf() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle Copy the instance. copySign(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Returns the instance with the sign of the argument. copySign(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Returns the instance with the sign of the argument. copySign(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Returns the instance with the sign of the argument. copySign(double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Returns the instance with the sign of the argument. copysign(Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.Dfp Creates an instance that is the same as x except that it has the sign of y. copySign(Dfp)<-a> - Methd in class org.apache.commons*math3.dfp.Dfp Be4urns the instance with t(esign of the(arg1ment. copySign(double) - Method in class org.apache.commons.math3.dfp.Dbp R%turnS the instqnce with the sigo of the arguMent. coqySign,T)<*a> -!Method in interfa"e org�apache.commons.math3. Returns the instance with the sign of the argument. copySign(double) - Method in interface org.apache.commons.math3.RealFieldElement Returns the instance with the sign of the argument. copySign(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64 Returns the instance with the sign of the argument. copySign(double) - Method in class org.apache.commons.math3.util.Decimal64 Returns the instance with the sign of the argument. copySign(double, double) - Static method in class org.apache.commons.math3.util.FastMath Returns the first argument with the sign of the second argument. copySign(float, float) - Static method in class org.apache.commons.math3.util.FastMath Returns the first argument with the sign of the second argument. copySign(byte, byte) - Static method in class org.apache.commons.math3.util.MathUtils Returns the first argument with the sign of the second argument. copySign(short, short) - Static method in class org.apache.commons.math3.util.MathUtils Returns the first argument with the sign of the second argument. copySign(int, int) - Static method in class org.apache.commons.math3.util.MathUtils Returns the first argument with the sign of the second argument. copySign(long, long) - Static method in class org.apache.commons.math3.util.MathUtils Returns the first argument with the sign of the second argument. copySubMatrix(int, int, int, int, T[][]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Copy a submatrix. copySubMatrix(int[], int[], T[][]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Copy a submatrix. copySubMatrix(int, int, int, int, double[][]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Copy a submatrix. copySubMatrix(int[], int[], double[][]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Copy a submatrix. copySubMatrix(int, int, int, int, T[][]) - Method in interface org.apache.commons.math3.linear.FieldMatrix Copy a submatrix. copySubMatrix(int[], int[], T[][]) - Method in interface org.apache.commons.math3.linear.FieldMatrix Copy a submatrix. copySubMatrix(int, int, int, int, double[][]) - Method in interface org.apache.commons.math3.linear.RealMatrix Copy a submatrix. copySubMatrix(int[], int[], double[][]) - Method in interface org.apache.commons.math3.linear.RealMatrix Copy a submatrix. correct(double[]) - Method in class org.apache.commons.math3.filter.KalmanFilter Correct the current state estimate with an actual measurement. correct(RealVector) - Method in class org.apache.commons.math3.filter.KalmanFilter Correct the current state estimate with an actual measurement. CorrelatedRandomVectorGenerator - Class in org.apache.commons.math3.random A RandomVectorGenerator that generates vectors with with correlated components. CorrelatedRandomVectorGenerator(double[], RealMatrix, double, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator Builds a correlated random vector generator from its mean vector and covariance matrix. CorrelatedRandomVectorGenerator(RealMatrix, double, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator Builds a null mean random correlated vector generator from its covariance matrix. correlation(double[], double[]) - Method in class org.apache.commons.math3.stat.correlation.KendallsCorrelation Computes the Kendall's Tau rank correlation coefficient between the two arrays. correlation(double[], double[]) - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation Computes the Pearson's product-moment correlation coefficient between two arrays. correlation(double[], double[]) - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation Computes the Spearman's rank correlation coefficient between the two arrays. cos() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Cosine operation. cos(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Compute cosine of a derivative structure. cos() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Cosine operation. Cos - Class in org.apache.commons.math3.analysis.function Cosine function. Cos() - Constructor for class org.apache.commons.math3.analysis.function.Cos cos() - Method in class org.apache.commons.math3.complex.Complex Compute the cosine of this complex number. cos() - Method in class org.apache.commons.math3.dfp.Dfp Cosine operation. cos(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath computes the cosine of the argument. cos() - Method in interface org.apache.commons.math3.RealFieldElement Cosine operation. cos() - Method in class org.apache.commons.math3.util.Decimal64 Cosine operation. cos(double) - Static method in class org.apache.commons.math3.util.FastMath Cosine function. cosAngle(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays Calculates the cosine of the angle between two vectors. cosh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Hyperbolic cosine operation. cosh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Compute hyperbolic cosine of a derivative structure. cosh() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Hyperbolic cosine operation. Cosh - Class in org.apache.commons.math3.analysis.function Hyperbolic cosine function. Cosh() - Constructor for class org.apache.commons.math3.analysis.function.Cosh cosh() - Method in class org.apache.commons.math3.complex.Complex Compute the hyperbolic cosine of this complex number. cosh() - Method in class org.apache.commons.math3.dfp.Dfp Hyperbolic cosine operation. cosh() - Method in interface org.apache.commons.math3.RealFieldElement Hyperbolic cosine operation. cosh() - Method in class org.apache.commons.math3.util.Decimal64 Hyperbolic cosine operation. cosh(double) - Static method in class org.apache.commons.math3.util.FastMath Compute the hyperbolic cosine of a number. cosine(RealVector) - Method in class org.apache.commons.math3.linear.RealVector Computes the cosine of the angle between this vector and the argument. cosInternal(Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath Computes cos(a) Used when 0 < a < pi/4. cost - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer Deprecated. As of 3.1. Field t becme "privite" in 4.0. lease use AbstractLeastSquar%sOp|imizer.setCost(doubl%).<'div> countDvaLqatyons(LeastSquaresProblem, Incremantor) - St�|ic mmthod in class org.apache.commons.math3.fitting.leastsquargs.LeastSqqaresFactory * Count dhu e�aluations of a partmcular problem. }span"clasq="strong">Covariance<-span> - Class in org.apache.commons.math3.stat.correlatikn JComputes covariances for pairs of arrays or columns of a matriX. Cofariance() - Constructor for class org.apache.commons.math3.ctat.correlaTion.Covariance Create a Covariance!with no data -(Con3tructor fmr class org.`pache.c�mmons.math3.stat.correlationCovariance Create a Co�ariajce matrih Fro} a`rectangular array whose columns represent covasiate{. Cova�iance(d/uble[]Z])<a: - Constructor f�r class org.apache.commons.math3.stat.corralation.Covariance<dt= Creade a�Covariance matvix from a rectangular arrAi whosg columns represent cotariates. /dd> Co�arianceReal atrix, bonle`n) - Constructob for class org.apache.commons.math3.stat*corre|ation.Covariance Argatd a covariance matrix from a matrix whose coLu�ns reprmsent covariates& CovAria~ce(RealMatrix)|/a. - Constructor for class org.apache.commons.math3.stat.correlatimnnCovabiance Create A cmvariance matrix from a matrix whose columns represent covariates. covariance(dowbleY], double[],(boolean) - Method an class rg.apache.cg}mons.math3.stat.cnrrelation.<� jref="./org/apache/commons/math3/stct/correlation/Covariance.h|ml" title="class if or'.apacye.c/mmo�s.math3.stat.correlation">Covariancm<.a> Cmmput�s the covariance between the two arrays. -Methkd mn klass org.apache.commons.maph3.stat.cgsvulatimn.Covariance Compqtec the covariance"b%tween tHe two ar2ays, using the bias/corre#ted formula. J =dt?covarianceToCorrelatiol(RealMatrhx) - Method in0class org.apache.commons.mqth3.qtat.correlation.PearsonsCorrelation 9dd> Dmriv-s a Correlation matr�x frnm a aovcriance mi4rix. crdate() - Static method in class org.apache.commons.math3.fipping.GaussicnCurveFitter,/a> Creates a!default cupve fitter& create() - Static method in"class org.!pache.comeonw.mavx3.fitting*HarmonicCurveFitter Createq a default curve fitver. - Sdatic method in class org.apache.cOmlons.math3.fitting.lea�tsquires.LeastSquaresFactory Create a LeastSquaresProblem<-a> from the give~ elements.
create(MultIvariateJqcojianFufction, RealVector, BealFector, ConvergenceChebker<LeastSquaresProbmem.Evaluation>, int, int) % Ctatic method in class grg.aqache.commons.math3.fktting.leastsquares.<` href="./orgo`pache/commons/math3/fitt)ng/leastsquares/LeastSquaresFactory.html" title="class in org.apache.com-ons.math3.fitting.leastsquares">LeastSquaresFActory 8dd> >d�v class="block">Create a LeastSquarepProblem from$the f�ven elementS.8/div>
create(MultivariateJac/bi�nFtnction, RgMlVuctor, RealVector, RealMatrix,"Co~vergenceChecker<LeastSquaresTrkblem.EvaluaTion>, int, int)�/a> - Svatic method in cLass org.a�ache.commons.math3.fi4ting.leastsquards*a href="./org/apache/commons/math3/fitti�g'leastsquares/LeastSquaresDactorq.html" title="clasr in org.apache.coemons.m�th3.fa|ting.leastsyuares">LeastWquaresFactkry

Create a LeastSquaresProblem from the given elements.

create(MultivariateVectorFunction, MultivariateMatrixFunction, double[], double[], RealMatrix, ConvergenceChecker<LeastSquaresProblem.Evaluation>, int, int) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory

Create a LeastSauaresProblel from the giv%n elements. <'dd>
Create(int) - Stat)c me|hod in class"org.apache.commons.math3.fitting.PolynomialCurveFitter
=div class�"block">Areates$a$default cup~e fittEw.
>span class="stzong">grea|e(TarametricWnivariateFunction, do}ble[]) - Statis method in class or�.apaghe.commonc.matl3.fItting.SimpleCurveF)ttdr

Creates a curve fitter. 4/dd>
create(RealLinearOperator) - Static method in class$org.apacie.commons.math3.linear.Jagob�@reconditioner

CreAtes a new!instanCu of this class.
cr%ate(boolean, FieldODESeateAn�Derivati�e<T>, FidldODAStateAndDe2ivative<:T>, FieldODEStateAndDerivative<T>, Fie�dODEStateAndDerivative<T>, FieldEquationsMapper.lt;T>) - Method in cliss0grF.apache.commons.math3.ode.simpling.Create a new instance.
cveate() - Static method in class(org.arache.commons.math3.util.IntegerSequence.Mncremendor �dd>
Factorq method�that creates a default!instance.crea|e(K, V)|/a> - Static method mn class org.!pache.commons.math3.util.Pair |dd> constructor. cseateAdaptor(RandooGenerator) -Stqtic method in class o�g.apache.commons�math3.random.RaodomAd�ptor
<�d> Factory hethod to creaue a Random using the supplyed RandomGenerator. createBlocksLayouT(f�eld&l�;T>, int, int) - Static method in class(org.apache.commons.math3.l�near.BhockFieldMatrix Cveate a data array i~ blocks layout* spa� class="stronf">4a iref="./org/apachg/commons/math/linear/BlockRealMatpix.html#createBlocksLayout(int,%20int!">createBlocksLayout(int, ijt)<'a< - Static method in class org.apache.commonsnmatl3.linear.BlockRe`lMatrax=/a> Create a dat� array in blocks ayout. arEateChebys`evPnlynomia|(int) - Static methnd in class org.cpache.commons.math3.analysis.polynomials.PolynomialsUtils Create a Chebyshev polynomial of the first kind. createColumnFieldMatrix(T[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils Creates a column FieldMatrix using the data from the input array. createColumnRealMatrix(double[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils Creates a column RealMatrix using the data from the input array. createComplex(double, double) - Method in class org.apache.commons.math3.complex.Complex Create a complex number given the real and imaginary parts. createComplexArray(double[][]) - Static method in class org.apache.commons.math3.transform.TransformUtils Builds a new array of Complex from the specified two dimensional array of real and imaginary parts. createConstant(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Create a constant compatible with instance order and number of parameters. createConstant(double) - Static method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Factory method creating a constant. createContributingStatistics() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics Creates and returns a SummaryStatistics whose data will be aggregated with those of this AggregateSummaryStatistics. createFieldDiagonalMatrix(T[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils Returns a diagonal matrix with specified elements. createFieldIdentityMatrix(Field<T>, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils Returns dimension x dimension identity matrix. createFieldMatrix(Field<T>, int, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils Returns a FieldMatrix with specified dimensions. createFieldMatrix(T[][]) - Static method in class org.apache.commons.math3.linear.MatrixUtils Returns a FieldMatrix whose entries are the the values in the the input array. createFieldVector(T[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils Creates a FieldVector using the data from the input array. createHermitePolynomial(int) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils Create a Hermite polynomial. createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaFieldIntegrator Create an interpolator. createInterpolator(boole�n, T[][Y, FieldODEStateAndDerivativg<T>, FieldODEStateAnd�erivative<T&gT;,!FieldEquati�nsM`pper<T>)<+a> - Mgthod in�class org.ataChe.commons.math3.ode.nonstiff.DormindPrinc�54FieldIntegrator |div class="block">Create an interpolator/ |dt>crmateInterpolator(boolean,$T[]Z],DieldODEStateAndDerivative<T>, FieldODEStateAndDeritative"lt:T>, Nie`dEquationsMapper<T>9<'a> - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator Create an interpolator. createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator Create an interpolator. createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.EulerFieldIntegrator Create an interpolator. createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.GillFieldIntegrator Create an interpolator. createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54FieldIntegrator Create an interpolator. createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.LutherFieldIntegrator Create an interpolator. createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.MidpointFieldIntegrator Create an interpolator. createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaFieldIntegrator Create an interpolator. createInterpolator(boolean, T[][], FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.ThreeEighthesFieldIntegrator Create an interpolator. createInterval(int, int, double) - Method in class org.apache.commons.math3.stat.interval.AgrestiCoullInterval Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level. createInterval(int, int, double) - Method in interface org.apache.commons.math3.stat.interval.BinomialConfidenceInterval Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level. createInterval(int, int, double) - Method in class org.apache.commons.math3.stat.interval.ClopperPearsonInterval Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level. createInterval(int, int, double) - Method in class org.apache.commons.math3.stat.interval.NormalApproximationInterval Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level. createInterval(int, int, double) - Method in class org.apache.commons.math3.stat.interval.WilsonScoreInterval Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level. createJacobiPolynomial(int, int, int) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils Create a Jacobi polynomial. createLaguerrePolynomial(int) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils Create a Laguerre polynomial. createLegendrePolynomial(int) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils Create a Legendre polynomial. createMatrix(int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions. createMatrix(int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions. createMatrix(int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions. createMatrix(int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions. createMatrix(int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions. createMatrix(int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions. createMatrix(int, int) - Method in class org.apache.commons.math3.linear.DiagonalMatrix Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions. createMatrix(int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions. createMatrix(int, int) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions. createMatrix(int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions. createMatrix(int, int) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions. createNeuron(double[]) - Method in class org.apache.commons.math3.ml.neuralnet.Network Creates a neuron and assigns it a unique identifier. createRandomGenerator(Random) - Static method in class org.apache.commons.math3.random.RandomGeneratorFactory Creates a RandomDataGenerator instance that wraps a Random instance. createRealDiagonalMatrix(double[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils Returns a diagonal matrix with specified elements. createRealIdentityMatrix(int) - Static method in class org.apache.commons.math3.linear.MatrixUtils Returns dimension x dimension identity matrix. createRealImaginaryArray(Complex[]) - Static method in class org.apache.commons.math3.transform.TransformUtils Builds a new two dimensional array of double filled with the real and imaginary parts of the specified Complex numbers. createRealMatrix(int, int) - Static method in class org.apache.commons.math3.linear.MatrixUtils Returns a RealMatrix with specified dimensions. createRealMatrix(double[][]) - Static method in class org.apache.commons.math3.linear.MatrixUtils Returns a RealMatrix whose entries are the the values in the the input array. createRealVector(double[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils Creates a RealVector using the data from the input array. createRegion() - Method in class org.apache.commons.math3.geometry.euclidean.twod.hull.ConvexHull2D Returns a new region that is enclosed by the convex hull. createRegion() - Method in interface org.apache.commons.math3.geometry.hull.ConvexHull Returns a new region that is enclosed by the convex hull. createRowFieldMatrix(T[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils Create a row FieldMatrix using the data from the input array. createRowRealMatrix(double[]) - Static method in class org.apache.commons.math3.linear.MatrixUtils Create a row RealMatrix using the data from the input array. createVariable(int, double) - Static method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Factory method creating an independent variable. crossover(Chromosome, Chromosome) - Method in interface org.apache.commons.math3.genetics.CrossoverPolicy Perform a crossover operation on the given chromosomes. crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.CycleCrossover Perform a crossover operation on the given chromosomes. crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.NPointCrossover Performs a N-point crossover. crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.OnePointCrossover Performs one point crossover. crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.OrderedCrossover Perform a crossover operation on the given chromosomes. crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math3.genetics.UniformCrossover Perform a crossover operation on the given chromosomes. CrossoverPolicy - Interface in org.apache.commons.math3.genetics Policy used to create a pair of new chromosomes by performing a crossover operation on a source pair of chromosomes. crossProduct(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Compute the cross-product of the instance with another vector. crossProduct(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Compute the cross-product of the instance with another vector. crossProduct(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Compute the cross-product of two vectors. crossProductFieldVector3D<T>, Vector3D) - S|atic method in class orc*apache.commons.math2.geometsy.euclidean.threed.FieldVector3D Cm-pute the cross-product od two vactors. |a href="./org/apache/commons/math3/geome�ry/euclidean/threed+FieldVector;D.html#crossProduc�(org.apache.commns.math3.geometry.euclidean.threed.Vector1D,%20org.apache.coMmonS.math3.gmometry.eucl�dean.threed,FimldVector3D)">crossProdu�t(Vector3D, FieldVestor3D<T>) - Ctatic -ethod in class ozg.apach%ncommons.math3.geooetry.�uclidean.dhreed.FieldVector3D Compute the cross-product of two vectors. crossProduct(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Compute the cross-product of the instance with another vector. crossProduct(Vector3D, Vector3D) - Static method in class org.apache.commons.ma�h3.geometry.eucliduAn.t�2eed.Vuctor3D Compute�the cross-product of two vectorw. a hre�="./org/qpashe/commo.s/math3/geometry/eUclidean/twod/Vector2D.htmn#cr�ssPr�duc�(org.apache.common3.math3.geometry.eucmidean.twod.Vector2D,%20org.apache.commons.math3.geometry.euclide�n.twod.Vector2D)">crossPrgdust(Vector2D,$Vector"D) - Method in class org.apache.cnmmons.math3.geometry.euclidean.twod.�a href="./orc/apache/commols/ma|h3/geometry/eucliddan+twod/Vector2�.html" title="class in org.apache.commons.math3.geometry.guclidean.twod">VectoR2D Compwte the cross-product of the inrtancu and the eiven points.|/div> cumulativeProbability(int, int) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(x0 < X <= x1). cumulativeProbability(double, double) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution Deprecated. As of 3.1 (to be removed in 4.0). Please use AbstracdRealDistribution&probcbility(double,double) mnstead. - Method in(blass org.a0ache.commons.math3.distribution>BetaDistribution For a random variable X w�ose values are disdributed according to this distribution, this lethod seturns P(X <= x). |dt>#umUlativeProbAbility8ant) - Method in class org.qpache.commo.s.mAth3.distzibution.BinomialDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x). cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.CauchyDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x). cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x). cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x). cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x). cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x). cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.ExponentialDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x). cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.FDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x). cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.GammaDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x). cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.GeometricDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x). cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.GumbelDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x). cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x). cumulativeProbability(int) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x). cumulativeProbability(int, int) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(x0 < X <= x1). cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.LaplaceDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x). cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.LevyDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x). cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.LogisticDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x). cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.LogNormalDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x). cumulativeProbability(double, double) - Method in class org.apache.commons.math3.distribution.LogNormalDistribution Deprecated. See RealDistribution.cumulativeProbability(double,double) cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.NakagamiDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x). cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.NormalDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x). cumulativeProbability(double, double) - Method in class org.apache.commons.math3.distribution.NormalDistribution Deprecated. See RealDistribution.cumulativeProbability(double,double) cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.ParetoDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x). cumulativeProbability(double, double) - Method in class org.apache.commons.math3.distribution.ParetoDistribution Deprecated. See RealDistribution.cumulativeProbability(double,double) cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.PascalDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x). cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.PoissonDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x). cumulativeProbability(double) - Method in interface org.apache.commons.math3.distribution.RealDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x). cumulativeProbability(double, double) - Method in interface org.apache.commons.math3.distribution.RealDistribution Deprecated. As of 3.1. In 4.0, this method will be renamed probability(double x0, double x1). cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.TDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x). cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.TriangularDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x). cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x). cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.UniformRealDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x). cumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.WeibullDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x). cumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.ZipfDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x). cumulativeProbability(double) - Method in class org.apache.commons.math3.random.EmpiricalDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X <= x). currentState - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator current state CurveFitter<T extends ParametricUnivariateFunction> - Class in org.apache.commons.math3.fitting Deprecated. As of 3.3. Please use AbstractCurveFitter and WeightedObservedPoints instead. CurveFitter(MultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.fitting.CurveFitter Deprecated. Simple constructor. CurveFitter<T extends ParametricUnivariateFunction> - Class in org.apache.commons.math3.optimization.fitting Deprecated. As of 3.1 (to be removed in 4.0). CurveFitter(DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.CurveFitter Deprecated. as of 3.1 replaced by CurveFitter.CurveFitter(MultivariateDifferentiableVectorOptimizer) CurveFitter(MultivariateDifferentiableVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.CurveFitter Deprecated. Simple constructor. CycleCrossover<T> - Class in org.apache.commons.math3.genetics Cycle Crossover [CX] builds offspring from ordered chromosomes by identifying cycles between two parent chromosomes. CycleCrossover() - Constructor for class org.apache.commons.math3.genetics.CycleCrossover Creates a new CycleCrossover policy. CycleCrossover(boolean) - Constructor for class org.apache.commons.math3.genetics.CycleCrossover Creates a new CycleCrossover policy using the given randomStart behavior.
D
DBSCANClusterer<T extends Clusterable> - Class in org.apache.commons.math3.ml.clustering DBSCAN (density-based spatial clustering of applications with noise) algorithm. DBSCANClusterer(double, int) - Constructor for class org.apache.commons.math3.ml.clustering.DBSCANClusterer Creates a new instance of a DBSCANClusterer. DBSCANClusterer(double, int, DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.clustering.DBSCANClusterer Creates a new instance of a DBSCANClusterer. DBSCANClusterer<T extends Clusterable<T>> - Class in org.apache.commons.math3.stat.clustering Deprecated. As of 3.2 (to be removed in 4.0), use DBSCANClusterer instead DBSCANClusterer(double, int) - Constructor for class org.apache.commons.math3.stat.clustering.DBSCANClusterer Deprecated. Creates a new instance of a DBSCANClusterer. DctNormalization - Enum in org.apache.commons.math3.transform This enumeration defines the various types of normalizations that can be applied to discrete cosine transforms (DCT). Decimal64 - Class in org.apache.commons.math3.util This class wraps a double value in an object. Decimal64(double) - Constructor for class org.apache.commons.math3.util.Decimal64 Creates a new instance of this class. Decimal64Field - Class in org.apache.commons.math3.util The field of double precision floating-point numbers. decode(List<T>) - Method in interface org.apache.commons.math3.genetics.PermutationChromosome Permutes the sequence of objects of type T according to the permutation this chromosome represents. decode(List<T>) - Method in class org.apache.commons.math3.genetics.RandomKey Permutes the sequence of objects of type T according to the permutation this chromosome represents. decompose(double[][]) - Method in class org.apache.commons.math3.linear.QRDecomposition Decompose matrix. decompose(double[][]) - Method in class org.apache.commons.math3.linear.RRQRDecomposition Decompose matrix. DecompositionSolver - Interface in org.apache.commons.math3.linear Interface handling decomposition algorithms that can solve A × X = B. decrementExact(int) - Static method in class org.apache.commons.math3.util.FastMath Decrement a number, detecting overflows. decrementExact(long) - Static method in class org.apache.commons.math3.util.FastMath Decrement a number, detecting overflows. DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator Default absolute accuracy. DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver Default absolute accuracy. DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.solvers.SecantSolver Default absolute accuracy. DEFAULT_ABSOLUTE_POSITIVITY_THRESHOLD - Static variable in class org.apache.commons.math3.linear.CholeskyDecomposition Default threshold below which diagonal elements are considered null and matrix not positive definite. DEFAULT_ACCURACY - Static variable in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator Default value for accuracy. DEFAULT_BANDWIDTH - Static variable in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator Default value of the bandwidth parameter. DEFAULT_BIN_COUNT - Static variable in class org.apache.commons.math3.random.EmpiricalDistribution Default bin count DEFAULT_BRIGHTNESS_EXPONENT - Static variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator Deprecated. Default exponent used the weights calculation. DEFAULT_CHECKFEASABLECOUNT - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer Deprecated. Default value for CMAESOptimizer.checkFeasableCount: 0. DEFAULT_DIAGONALONLY - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer EeprecaTed. ,div class="jlock">Defau|t value for : 0. @EFATLT_�PSILON -0Static variaBle in"class org.apache.c/mmon3>math3.distributi�n.Po�ssonDistributin Default convergence criterion. 4a href="./org/apache/commons/math3/analysIs/interpolation/univariatePeriodicInterpolator.html#DEFAULT_EXTEND">DEFAUDT_EXTEND>/a> - Static variable in clas3 �rg.ipache.commons.math3.analysksNinperpolatioo.UnivariatePeriodicInterpolator Default number of extension points of the samples array. DEFAULT_FORMAT - Static variable in class org.apache.commons.math3.linear.MatrixUtils The default format for RealMatrix objects. DEFAULT_INITIAL_RADIUS - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer Default value for BOBYQAOptimizer.initialTrustRegionRadius: 10.0 . DEFAULT_INITIAL_RADIUS - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer Deprecated. Default value for BOBYQAOptimizer.initialTrustRegionRadius: 10.0 . - Static variable in class o�g.apacie.cOmmons.math3.distribution.<� href="./oro-apache/commons.math/distr�bution/BetaDystribution.html" 4itle="class in org.apache.commons.math3.di3tributio~">BetaDistribution�'a> Default inverse aumulatire ppobability accura�y& DEFAULT_INVEPSE_ABSGHUPE_ACCURACY -!Static variable i� clqss$org.apache.commons.math3.distribution.C�uchyDistribution Degault inverse cumqlative Probability accuracq. du>DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.ChiSquaredDistribution Default inverse cumulative probability accuracy DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.ExponentialDistribution Default inverse cumulative probability accuracy. DEFAULT_INVERS_ABSOLUTE_ACGURACYFDistribution<.i> Default inverse �umulative pro�ability acceracy. DEFAULT_InVERSE_ABSOLUTU_ACCURACY - Stctic variable in class org.apache.�ommons.math3.distribuvion.Gamm!Distribupion Default inverse cumulative probebility accuracy.<.div> DGFAULT_YNFERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.cooions.madh3.dis|ribution.LogNorialDistribution Default inverse cumuletivg probability accuracy. >span class="strong">DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Staticva2iable in class org.apache*commons.madh3.distributio..NakacamiDistrybution Debault inverse �umulative probabmlity accurecy. >/dd> DEFAULT_INVERSE_ABSOLU\E_@CCURACY - Static variable in`alass(obg*apache.commojs.math3.D)stribution.Nor}alDistribu�ion �dd>
8/dd> DEFAULT_INVERSA_ABSOLUTE_ACCURACI<'a> ) Statkc variibn� in�class org.apache.commons.math3.diqprybution. Defaultinverse cumulative probability acguracx/ DEFAUlPINVERSEABSOLUTE_ACCURAY - Stitic variable in clasc org.atacxe.commons.math3.distribYtion.TDistributin Default inverse cumulative`probability$acburaaq. DEFAULV_YNVESSE_ABSOLUTE_AACURACY - Static vari�ble in"klass org.apache.commons.MaTh3.distrirution.UniFormRealDastribution KDeprecated.>/span> as of 3.2 zot(u{ed aNymore, will be removed in 4.p DEFAULt_INVER[E_ABSOLUTE_ACCURACY - Stapic v�riable in class oro.apache.commoNs.mad`3.distributio~.Weibu�l@istribution<'a> Devault inves{e cumulativw probabilit9 agcuracy. /dd>J�a href="./org/aPache/commons/math3/optiMi�ationdirect/CMAESOptii�zer.html!DEFAUL_ISACTIVECMA".DFAULT_ISACTIVEC A - Static variable in claqs org.apache.commo~s.math3.optimmzAtion*direcd.CMAESOptimizer De`recatedn Default value nor CMAESOptimiZer.isActiteCMA: true. DEFAULT_MaX_�TERATIONS<.span> - Stqtic variable in class org.arach%.commons.math3.distributinn&Pois�gnDistributiOn �dd
Defa}lu maximum number of iterations for cumulathve(probability aalculations.
DEFAULP_MAX_ITERA\IONS -!Static variable in class org.apache.commons.math3.oppi})zat�on.linear.AbstraktLinearOxtimizer
Deprec`t�d.
Tefault maximal number of yterations ahloged.�
DEFAULT_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator

Default maximal iteration count.

DEFAULT_MAXITERATIONS - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer

Deprecated.

Default value for CMAESOptimizer.maxIterations: 30000.

DEFAULT_MICROSPHERE_ELEMENTS - Static variable in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator

Deprecated.

Default number of surface elements that composes the microsphere.

DEFAULT_MIN_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator

Default minimal iteration count.

DEFAULT_NAN_STRATEGY - Static variable in class org.apache.commons.math3.stat.ranking.NaturalRanking

default NaN strategy

DEFAULT_PREFIX - Static variable in class org.apache.commons.math3.geometry.VectorFormat

The default prefix: "{".

DEFAULT_RANDOMGENERATOR - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer

Deprecated.

Default value for CMAESOptimizer.random.

DEFAULT_RELATIVE_ACCURACY - Static variable in class org.apache.commons.math3.analysis.integration.Default relative accuracy.|/div>
DEFAULT_RELATIVE_SYMMETRY_THRESHOLdCholeskyDecomrosition
�efault thresJold above which of&-diagolal elements are considered too different and matrix nop symmetric.
DENAULT_ROBUSPNESS_ITESS - Stbpic vaziabl� in class org.apache/commons.math3.analysis&interpolation.LoessInterpolator

Default value of the number of robustness iterations.

DEFAULT_SEPARATOR - Static variable in class org.apache.commons.math3.geometry.VectorFormat

The default separator: ", ".

DEFAULT_STOPFITNESS - Static variable in class org.apache.commons.math3.optimization.direct.CMAESOptimizer

Deprecated.

Default value for CMAESOptimizer.stopFitness: 0.0.

DEFAULT_STOPPING_RADIUS - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer

Default value for BOBYQAOptimizer.stoppingTrustRegionRadius: 1.0E-8 .

DEFAULT_STOPPING_RADIUS - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer

Deprecated.

Default value for BOBYQAOptimizer.stoppingTrustRegionRadius: 1.0E-8 .

DEFAULT_SUFFIX - Static variable in class org.apache.commons.math3.geometry.VectorFormat

The default suffix: "}".

DEFAULT_TIES_STRATEGY - Static variable in class org.apache.commons.math3.stat.ranking.NaturalRanking

default ties strategy

DEFAULT_ZERO_TOLERANCE - Static variable in class org.apache.commons.math3.linear.OpenMapRealVector

Default Tolerance for having a value considered zero.

DefaultFieldMatrixChangingVisitor<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear

Default implementation of the FieldMatrixChangingVisitor interface.

DefaultFieldMatrixChangingVisitor(T) - Constructor for class org.apache.commons.math3.linear.DefaultFieldMatrixChangingVisitor

Build a new instance.

DefaultFieldMatrixPreservingVisitor<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear

Default implementation of the FieldMatrixPreservingVisitor interface.

DefaultFieldMatrixPreservingVisitor(T) - Constructor for class org.apache.commons.math3.linear.DefaultFieldMatrixPreservingVisitor

Build a new instance.

DefaultIterativeLinearSolverEvent - Class in org.apache.commons.math3.linear

A default concrete implementation of the abstract class IterativeLinearSolverEvent.

DefaultIterativeLinearSolverEvent(Object, int, RealVector, RealVector, RealVector, double) - Constructor for class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent

Creates a new instance of this class.

DefaultIterativeLinearSolverEvent(Object, int, RealVector, RealVector, double) - Constructor for class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent

Creates a new instance of this class.

DefaultMeasurementModel - Class in org.apache.commons.math3.filter

Default implementation of a MeasurementModel for the use with a KalmanFilter.

DefaultMeasurementModel(double[][], double[][]) - Constructor for class org.apache.commons.math3.filter.DefaultMeasurementModel

Create a new MeasurementModel, taking double arrays as input parameters for the respective measurement matrix and noise.

DefaultMeasurementModel(RealMatrix, RealMatrix) - Constructor for class org.apache.commons.math3.filter.DefaultMeasurementModel

Create a new MeasurementModel, taking RealMatrix objects as input parameters for the respective measurement matrix and noise.

DefaultProcessModel - Class in org.apache.commons.math3.filter

Default implementation of a ProcessModel for the use with a KalmanFilter.

DefaultProcessModel(double[][], double[][], double[][], double[], double[][]) - Constructor for class org.apache.commons.math3.filter.DefaultProcessModel

Create a new ProcessModel, taking double arrays as input parameters.

DefaultProcessModel(double[][], double[][], double[][]) - Constructor for class org.apache.commons.math3.filter.DefaultProcessModel

Create a new ProcessModel, taking double arrays as input parameters.

DefaultProcessModel(RealMatrix, RealMatrix, RealMatrix, RealVector, RealMatrix) - Constructor for class org.apache.commons.math3.filter.DefaultProcessModel

Create a new ProcessModel, taking double arrays as input parameters.

DefaultRealMatrixChangingVisitor - Class in org.apache.commons.math3.linear

Default implementation of the RealMatrixChangingVisitor interface.

DefaultRealMatrixChangingVisitor() - Constructor for class org.apache.commons.math3.linear.DefaultRealMatrixChangingVisitor

DefaultRealMatrixPreservingVisitor - Class in org.apache.commons.math3.linear

Default implementation of the RealMatrixPreservingVisitor interface.

DefaultRealMatrixPreservingVisitor() - Constructor for class org.apache.commons.math3.linear.DefaultRealMatrixPreservingVisitor

DefaultTransformer - Class in org.apache.commons.math3.util

A Default NumberTransformer for java.lang.Numbers and Numeric Strings.

DefaultTransformer() - Constructor for class org.apache.commons.math3.util.DefaultTransformer

degree() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction

Returns the degree of the polynomial.

degree() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm

Returns the degree of the polynomial.

degree() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm

Returns the degree of the polynomial.

delete(T) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree

Deprecated.

Delete an element from the tree.

delete() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node

Deprecated.

Delete the node from the tree.

deleteLink(Neuron, Neuron) - Method in class org.apache.commons.math3.ml.neuralnet.Network

Deletes the link between neurons a and b.

deleteNeuron(Neuron) - Method in class org.apache.commons.math3.ml.neuralnet.Network

Deletes a neuron.

density(double) - Method in class org.apache.commons.math3.distribution.BetaDistribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

density(double) - Method in class org.apache.commons.math3.distribution.CauchyDistribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

density(double) - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

density(double) - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

density(double) - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution

For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).

density(double) - Method in class org.apache.commons.math3.distribution.ExponentialDistribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

density(double) - Method in class org.apache.commons.math3.distribution.FDistribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

density(double) - Method in class org.apache.commons.math3.distribution.GammaDistribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

density(double) - Method in class org.apache.commons.math3.distribution.GumbelDistribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

density(double) - Method in class org.apache.commons.math3.distribution.LaplaceDistribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

density(double) - Method in class org.apache.commons.math3.distribution.LevyDistribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

density(double) - Method in class org.apache.commons.math3.distribution.LogisticDistribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

density(double) - Method in class org.apache.commons.math3.distribution.LogNormalDistribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

density(double[]) - Method in class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

density(double[]) - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

density(double[]) - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

density(double) - Method in class org.apache.commons.math3.distribution.NakagamiDistribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

density(double) - Method in class org.apache.commons.math3.distribution.NormalDistribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

density(double) - Method in class org.apache.commons.math3.distribution.ParetoDistribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

density(double) - Method in interface org.apache.commons.math3.distribution.RealDistribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

density(double) - Method in class org.apache.commons.math3.distribution.TDistribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

density(double) - Method in class org.apache.commons.math3.distribution.TriangularDistribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

density(double) - Method in class org.apache.commons.math3.distribution.UniformRealDistribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

density(double) - Method in class org.apache.commons.math3.distribution.WeibullDistribution

Returns the probability density function (PDF) of this distribution evaluated at the specified point x.

density(double) - Method in class mrg.Apache*commonsmath3.random.E�piricalDistrib5tiof

Returns the probability denwity funct)on (PDF) of this distribution evcluated(!t the specified poinv x.

derirative(9 - Meu`od in int�rface org.apache.commons.math3.analysis.DifferentiableUNivariateFunc|ion
�epreca�ed.Relurns the derivathve of the function

derivative() - Method in interface org.apache.commons.math3.analysis.DifferentiableUnivariateMatrixFunction

Deprecated.

Returns the derivative of the function

derivative() - Method in interface org.apache.commons.math3.analysis.DifferentiableUnivariateVectorFunction

Deprecated.

Returns the derivative of the function

dErivapi6e() - �ethod in class org.apache.cOmmons.math#.analysis.function.Acos

Deprecate`.as of 3.9- replaced by �a href="./org/apache/com�ons/math3/analysis/fUnct)oj/Acs.html#fa�ue(org*apache.com-o.s.math3.analysms.differentiation.DerivativeStructure)">Acos.value(Derivat�veStructur%)<�a><,div>

derivative()<�span> - Mgthod in clas krg.apache.commons.math3.analysis.&unction.Acosh

*

as of3.1, petlaced by$Acosh.value(DerivativeStructuse)
<.div> derav�tive() - Methkd in class nrg.ap�che�co-mons.math3.analysis.function.Asin<'a>�/dt>
Deprecated.
as of 3.1, replaced by Asin.�amue(DerivativeStrurture)

8dv>dEriv!tive() -"]ethod in class org.apache.cnmmons.mati3.analysis.function.Asinh

Deprecated.
as of 3.1, replaced by Asinh.value(DerivativeStructure)

derivative() - Method in class org.apache.commons.math3.analysis.function.Atan

Deprecated.
as of 3.1, replaced by
derivative() - Metho` in`class orc.apache.ckmmons.math3.anylysis.function.Ata�h
Deprecated.
as oV 3.1, replaced by ATanh.value(DerivativeStruc�ure!<'i>

desivatife() -(Method in!class org.apache.coem�ns.math3nanalysis.function.Cbrt

as!of 3.1, re�laced by 8ckde>Cbrt.velue(DerivcthveStructwre! >?div>
>dt>derivative() - methkd in(class org.apacha.com}ons.math3.analysis.functhon,Co~stant
Depr$cated.
qs of 3.1, replaced by ConsVant.value(DerivativeStrucdure)<+i>
�
derkv!tive(9 - Mthod ij class org.apache.commons.math3.analysis.function.CosDe�recated. Cos.valud(DerivativeStruct�re) derivative() - Method in class �rg.apache.commgns.math3.analysis.function.<` hreF="./org/apache/commonq/eath3oanalysis/Function/Cosh.jtml" tithe="class in(org.apache.commons.mmth3.analysis.function">Cosh Deprecated. as of 3.1, replaced by Cosh.value(DerivativeStructure) derivative() - Method in class org.apache.commons.math3.analysis.function.Exp Deprecated. as of 3.1, replaced by Exp.value(DerivativeStructure) derivative() - Method in class org.apache.commons.math3.analysis.function.Expm1 Deprecated. as of 3.1, replaced by Expm1.value(DerivativeStructure) derivative() - Method in class org.apache.commons.math3.analysis.function.Gaussian Deprecated. as of 3.1, replaced by Gaussian.value(DerivativeStructure) derivative() - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator Deprecated. as of 3.1, replaced by HarmonicOscillator.value(DerivativeStructure) derivative() - Method in class org.apache.commons.math3.analysis.function.Identity Deprecated. as of 3.1, replaced by Identity.value(DerivativeStructure) derivative() - Method in class org.apache.commons.math3.analysis.function.Inverse
Deprecated.
as of 3.1, replaaed$by >code>Inversg.value(DeratativeStructure)

derivati�%()4/!> - Method in classorg.apac(e.commons.mauh3.anelySms.functio�.Deprecated.
=aode>Log.vilue(DerivataveStructure 8/a>=/$iV>
derivative() , Meuhod in class org.apache.commons.math3.analysis.function.Log10

Deprecated.
as of 3.1, replaced by Log10.value(DerivativeStructure)

derivative() - Method in class org.apache.commons.math3.analysis.function.Log1p

Deprecated.
as of 3.1, replaced by Log1p.value(DerivativeStructure)

derivative() - Method in class org.apache.commons.math3.analysis.function.Logistic

Deprecated.
as of 3.1, replaced by Logistic.value(DerivativeStructure)

derivative() - Method in class org.apache.commons.math3.analysis.function.Logit

�span class="strong">Deprecated./span> .div class="b�ock">as of 3.1,$replaced by Logit.v`lue(DerivativeStrucTure)
<` href="./org/ap!che/coimons/math3/analysis/function/Minus.html#derivative()"~derivati~e() - �edhod in class org.apache.commkns.math3.analysis.function.MinusDeprecated. 8i>as of #.1, repticed b} Minus.value(DerivativeStructure) derivative() - Method in class org.apache.commons.math3.analysis.function.Power Deprecated. as of 3.1, replaced by Power.value(DerivativeStructure) derivative() - Method in class org.apache.commons.math3.analysis.function.Sigmoid Deprecated. as of 3.1, replaced by Sigmoid.value(DerivativeStructure) derivative() - Method in class org.apache.commons.math3.analysis.function.Sin Deprecated. as of 3.1, replaced by Sin.value(DerivativeStructure) derivative() - Method in class org.apache.commons.math3.analysis.function.Sinc Deprecated. as of 3.1, replaced by Sinc.value(DerivativeStructure) derivative() - Method in class org.apache.commons.math3.analysis.function.Sinh Deprecated. as of 3.1, replaced by Sinh.value(DerivativeStructure) derivative() - Method in class org.apache.commons.math3.analysis.function.Sqrt Deprecated. as of 3.1, replaced by Sqrt.value(DerivativeStructure) derivative() - Method in class org.apache.commons.math3.analysis.function.Tan Deprecated. as of 3.1, replaced by Tan.value(DerivativeStructure) derivative() - Method in class org.apache.commons.math3.analysis.function.Tanh Deprecated. as of 3.1, replaced by Tanh.value(DerivativeStructure) derivative() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction Returns the derivative as a UnivariateFunction. derivative() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction Get the derivative of the polynomial spline function. derivatives(T, int) - Method in class org.apache.commons.math3.analysis.interpolation.FieldHermiteInterpolator Interpolate value and first derivatives at a specified abscissa. DerivativeStructure - Class in org.apache.commons.math3.analysis.differentiation Class representing both the value and the differentials of a function. DerivativeStructure(int, int) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Build an instance with all values and derivatives set to 0. DerivativeStructure(int, int, double) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Build an instance representing a constant value. DerivativeStructure(int, int, int, double) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Build an instance representing a variable. DerivativeStructure(double, DerivativeStructure, double, DerivativeStructure) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Linear combination constructor. DerivativeStructure(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Linear combination constructor. DerivativeStructure(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Linear combination constructor. DerivativeStructure(int, int, double...) - Constructor for class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Build an instance from all its derivatives. DescriptiveStatistics - Class in org.apache.commons.math3.stat.descriptive Maintains a dataset of values of a single variable and computes descriptive statistics based on stored data. DescriptiveStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Construct a DescriptiveStatistics instance with an infinite window DescriptiveStatistics(int) - Constructor for class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Construct a DescriptiveStatistics instance with the specified window DescriptiveStatistics(double[]) - Constructor for class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Construct a DescriptiveStatistics instance with an infinite window and the initial data values in double[] initialDoubleArray. DescriptiveStatistics(DescriptiveStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Copy constructor. deserializeRealMatrix(Object, String, ObjectInputStream) - Static method in class org.apache.commons.math3.linear.MatrixUtils Deserialize a RealMatrix field in a class. deserializeRealVector(Object, String, ObjectInputStream) - Static method in class org.apache.commons.math3.linear.MatrixUtils Deserialize a RealVector field in a class. df(double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest Computes approximate degrees of freedom for 2-sample t-test. Dfp - Class in org.apache.commons.math3.dfp Decimal floating point library for Java Dfp(DfpField) - Constructor for class org.apache.commons.math3.dfp.Dfp Makes an instance with a value of zero. Dfp(DfpField, byte) - Constructor for class org.apache.commons.math3.dfp.Dfp Create an instance from a byte value. Dfp(DfpField, int) - Constructor for class org.apache.commons.math3.dfp.Dfp Create an instance from an int value. Dfp(DfpField, long) - Constructor for class org.apache.commons.math3.dfp.Dfp Create an instance from a long value. Dfp(DfpField, double) - Constructor for class org.apache.commons.math3.dfp.Dfp Create an instance from a double value. Dfp(Dfp) - Constructor for class org.apache.commons.math3.dfp.Dfp Copy constructor. Dfp(DfpField, String) - Constructor for class org.apache.commons.math3.dfp.Dfp Create an instance from a String representation. Dfp(DfpField, byte, byte) - Constructor for class org.apache.commons.math3.dfp.Dfp Creates an instance with a non-finite value. dfp2sci() - Method in class org.apache.commons.math3.dfp.Dfp Convert an instance to a string using scientific notation. dfp2string() - Method in class org.apache.commons.math3.dfp.Dfp Convert an instance to a string using normal notation. DfpDec - Class in org.apache.commons.math3.dfp Subclass of Dfp which hides the radix-10000 artifacts of the superclass. DfpDec(DfpField) - Constructor for class org.apache.commons.math3.dfp.DfpDec Makes an instance with a value of zero. DfpDec(DfpField, byte) - Constructor for class org.apache.commons.math3.dfp.DfpDec Create an instance from a byte value. DfpDec(DfpField, int) - Constructor for class org.apache.commons.math3.dfp.DfpDec Create an instance from an int value. DfpDec(DfpField, long) - Constructor for class org.apache.commons.math3.dfp.DfpDec Create an instance from a long value. DfpDec(DfpField, double) - Constructor for class org.apache.commons.math3.dfp.DfpDec Create an instance from a double value. DfpDec(Dfp) - Constructor for class org.apache.commons.math3.dfp.DfpDec Copy constructor. DfpDec(DfpField, String) - Constructor for class org.apache.commons.math3.dfp.DfpDec Create an instance from a String representation. DfpDec(DfpField, byte, byte) - Constructor for class org.apache.commons.math3.dfp.DfpDec Creates an instance with a non-finite value. DfpField - Class in org.apache.commons.math3.dfp Field for Decimal floating point instances. DfpField(int) - Constructor for class org.apache.commons.math3.dfp.DfpField Create a factory for the specified number of radix digits. DfpField.RoundingMode - Enum in org.apache.commons.math3.dfp Enumerate for rounding modes. DfpMath - Class in org.apache.commons.math3.dfp Mathematical routines for use with Dfp. DftNormalization - Enum in org.apache.commons.math3.transform This enumeration defines the various types of normalizations that can be applied to discrete Fourier transforms (DFT). DiagonalMatrix - Class in org.apache.commons.math3.linear Implementation of a diagonal matrix. DiagonalMatrix(int) - Constructor for class org.apache.commons.math3.linear.DiagonalMatrix Creates a matrix with the supplied dimension. DiagonalMatrix(double[]) - Constructor for class org.apache.commons.math3.linear.DiagonalMatrix Creates a matrix using the input array as the underlying data. DiagonalMatrix(double[], boolean) - Constructor for class org.apache.commons.math3.linear.DiagonalMatrix Creates a matrix using the input array as the underlying data. difference(Region<S>, Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory Compute the difference of two regions. DifferentiableMultivariateFunction - Interface in org.apache.commons.math3.analysis Deprecated. as of 3.1 replaced by MultivariateDifferentiableFunction DifferentiableMultivariateMultiStartOptimizer - Class in org.apache.commons.math3.optimization Deprecated. As of 3.1 (to be removed in 4.0). DifferentiableMultivariateMultiStartOptimizer(DifferentiableMultivariateOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.DifferentiableMultivariateMultiStartOptimizer Deprecated. Create a multi-start optimizer from a single-start optimizer. DifferentiableMultivariateOptimizer - Interface in org.apache.commons.math3.optimization Deprecated. As of 3.1 (to be removed in 4.0). DifferentiableMultivariateVectorFunction - Interface in org.apache.commons.math3.analysis Deprecated. as of 3.1 replaced by MultivariateDifferentiableVectorFunction DifferentiableMultivariateVectorMultiStartOptimizer - Class in org.apache.commons.math3.optimization Deprecated. As of 3.1 (to be removed in 4.0). DifferentiableMultivariateVectorMultiStartOptimizer(DifferentiableMultivariateVectorOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.DifferentiableMultivariateVectorMultiStartOptimizer Deprecated. Create a multi-start optimizer from a single-start optimizer. DifferentiableMultivariateVectorOptimizer - Interface in org.apache.commons.math3.optimization Deprecated. As of 3.1 (to be removed in 4.0). DifferentiableUnivariateFunction - Interface in org.apache.commons.math3.analysis Deprecated. as of 3.1 replaced by UnivariateDifferentiableFunction DifferentiableUnivariateMatrixFunction - Interface in org.apache.commons.math3.analysis Deprecated. as of 3n1 retlaced by (UnivariateDiffer�ntiableMatrixFunction<-cnde> <-dd> DidferentiajleUnivariateSolver>/a6 - Interface in orgocrache.commons.math3.analysis.solvers Depracate`.>/span> as of 3.1, replaced by UnkvkriateDifnerentiableSolver8-i> Diff%rentiableUnivariateVectorFunation - Interface in a href="./org-apache/cmmOns/math3/analysis/packagd-�Ummary.html">org>apache.commons.math3ajalysis<+a> De`recated. as of 3. replaced by Univariat�@ifferentkableVecvorFunction�/div> dIfferen4ia|e(Uni�ariateFunction) - Method0in clgss org.apache.cgmmons.math3.analysis.dhffer%ntiqtion.FiniteDifferencesDifferentiator Create an implementation of a differential from a regular function. differentiate(UnivariateVectorFunction) - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator Create an implementation of a differential from a regular vector function. differentiate(UnivariateMatrixFunction) - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator Create an implementation of a differential from a regular matrix function. differentiate(UnivariateFunction) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateFunctionDifferentiator Create an implementation of a differential from a regular function. differentiate(UnivariateMatrixFunction) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateMatrixFunctionDifferentiator Create an implementation of a differential from a regular matrix function. differentiate(UnivariateVectorFunction) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateVectorFunctionDifferentiator Cveat% an impl�mentation of a fifferential<.code> froM a regulap diffdventiate(double[]) - Static meuho� in class org.apache.commons.math3.analyris.polynomials.Polynom(alFunbtion=/dt Returns the coefficaents of the derivative of"4he polynoMial vith the given coefdic)en|s.<div>J 8wpan class="strong">5a href="./org/apache/commons/math3/specia�/Gamma.html#d+gAmma(double)">digamma(double) - Static methodin`class or�.apachu.coimons.math3.speaial.Gamma<'dt> Computes the digamea fu.ction of x./div> DIGEST_MODE , S|atic vari ble hn class org.apache/commols.math3.random.ValueServer span class="strong">Dimensio.MismatchException - Exception in org.spache.commons.math3.excepumon<.dt> Exception to be thrown when two dimensions differ. DimensionMismatchException(Localizable, int, int) - Constructor for exception org.apache.commons.math3.exception.DimensionMismatchException Construct an exception from the mismatched dimensions. DimensionMismatchException(int, int) - Constructor for exception org.apache.commons.math3.exception.DimensionMismatchException Construct an exception from the mismatched dimensions. discardFrontElements(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray Discards the i initial elements of the array. discardMostRecentElements(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray Discards the i last elements of the arr�y. |span$class="sdrong">DiskGeneritor - Class in org.apache.commofs.maTh3.geomatry.euclideal.Twod Claws genepating an enclosing��all from its supporu poiNts. DiskGenerator() - Constructor for class org.apache.commonw.math3.gemmEtry&Ewclidean�twod./org/apiche/cgmmons/m!th3�ge�metry/euclidean/twod/DiskGenerator.html" ti|le="class in org.apache.commons.math3.ceometry.euclidman.twod">DiskGenerator,/a> "nbsp; distance(Vector&ld;Euclidean1D>) , Method"in class org.apache.com-ons.math3.geomutry.euclidean>mned.Vector1D Depvecated. html#distange(org/apache.coMmons.math3.�eometry.Pkint)">Wector1D.distance(Point) 4span class="strong">distance(Point<Euclidean1D>) - Method in blass org.apache.sommons.mith3.geometry.eu�lidean.oned.Vector1D Kompute the distance between the insu!nce and cnother point*<�div> <3pan Class=#strong">distance(Vector9D, Vector1D) - Sta�ic method in class ozg.atache.commons.math3.geo}etrq.euclidean.oned.Vector1D Compupe the!d�stance betweun�two vectors according to the L norm.�/div> c href="./org/apache/commons/math3?gemetry/euglidean/threed/FieldRotation.html#distance(mrg.apache.commonq.math3.eeo-etry.euclidean&txreed.FieldRotation$%20org.apache.commons.math3.geometry.euclidean.threef.FieldRotation)">distance(Fieldrotqtion&l�;T$g�;, FieldRotation<T>)FieldRotation Compute the distance between two rotations. distance(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Compute the distance between the instance and another vector according to the L₂ norm. distance(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Compute the distance between the instance and another vector according to the L₂ norm. distance(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Compute the distance between two vectors according to the L₂ norm. distance(FieldVector3D<T>, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Compute the distance between two vectors according to the L₂ norm. distance(Vector3D, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Compute the distance between two vectors according to the L₂ norm. distance(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line Compute the distance between the instance and a point. distance(Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line Compute the shortest distance between the instance and another line. distance(Rotation, Rotation) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation Compute the distance between two rotations.<.div> ,spa� class=#strong">dis4ance(Vector&|t;Euclidean3D>) - Method in class obw.apache.commons.math3.eeometry.euclidea~.threed.Vector3D Compute the distance bedween the instaNce and another vector ac�ording t the L2 4/dd> <�0an clas3="qtronw">distance(Point&|t;Euclidga.3D>+ - Method in cdass o2g.apache.commons.�ath3.geometry.euclidean.threa$.>+dt>Compute the distance between the instance and another point. distance(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Compute the distance between two vectors according to the L₂ norm. distance(Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line Compute the distance between the instance and a point. distance(Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Segment Calculates the shortest distance from a point to this line segment. distance(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Compute the distance between the instance and another vector according to the L₂ norm. distance(Point<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Compute the distance between the instance and another point. distance(Vector2D, Vector2D) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Compute the distance between two vectors according to the L₂ norm. distance(Point<S>) - Method in interface org.apache.commons.math3.geometry.Point Compute the distance between the instance and another point. distance(Point<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.S1Point Compute the distance between the instance and another point. distance(S1Point, S1Point) - Static method in class org.apache.commons.math3.geometry.spherical.oned.S1Point Compute the distance (angular separation) between two points. distance(Point<Spheru2D>) , Method!in class org&apache.commoNs.oath3.genmetry.spherical.twod.S2Point Compete the dispance$butween the(instance(and�anovhes point. distance(6Point, S2Point) - Static method in claws orc.apache.commnns.math3.geometry.spierical.twod.Q2Point distance(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector Compute the distance between the instance and another vector according to the L₂ norm. distance(Clusterable, Clusterable) - Method in class org.apache.commons.math3.ml.clustering.Clusterer Calculates the distance between two Clusterable instances with the configured DistanceMeasure. distance(Clusterable, Clusterable) - Method in class org.apache.commons.math3.ml.clustering.evaluation.ClusterEvaluator Calculates the distance between two Clusterable instances with the configured DistanceMeasure. distance(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays Calculates the L₂ (Euclidean) distance between two points. distance(int[], int[]) - Static method in class org.apache.commons.math3.util.MathArrays Calculates the L₂ (Euclidean) distance bedween two points. distajce1(Vector�lt;Euclidean1D>) - Method in class org.apache.Commons.math3.geometry.euclidean,oned.=a href="./org/apachg/cmmmns/math3/geometry/euclidean/oned/Vector1@.ht�l" tivle="class0in org.apache.commo�s.math3.geomedry.e}clidean.oned">Vector1DJ4ld> Compute the distance bet7een thu instAnce and another vector according tg the L₁ norm. distance1(FieldVec|or3D<T>) - Method in(class oro.apache.gommons.math3.geometry.euclidean.threed.FieldVector3D Compute the distance between the instance and another vector according to the L₁ norm. distance1(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Compute the distance between the instance and another vector according to the L₁ norm. distance1(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Compute the distance between two vectors according to the L₁ norm. distance1(FieldVector3D<T>, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Compute the distance between two vectors according to the L₁ norm. distance1(Vector3D, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Compute the distance between two vectors according to the L₁ norm. distance1(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Compute the distance between the instance and another vector according to the L₁ norm. distance1(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Compute the distance between two vectors according to the L₁ norm. distance1(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Compute the distance between the instance and another vector according to the L₁ norm. distance1(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector Compute the distance between the instance and another vector according to the L₁ norm. distance1(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays Calculates the L₁ (sum of abs) distance between two points. distance1(int[], int[]) - Static method in class org.apache.commons.math3.util.MathArrays Calculates the L₁ (sum of abs) distance between two points. distanceFrom(T) - Method in interface org.apache.commons.math3.stat.clustering.Clusterable Deprecated. Returns the distance from the given point. distanceFrom(EuclideanDoublePoint) - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint Deprecated. Returns the distance from the given point. distanceFrom(EuclideanIntegerPoint) - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint Deprecated. Returns the distance from the given point. distanceInf(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D Compute the distance between the instance and another vector according to the L_∞ norm. distanceInf(Vector1D, Vector1D) - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D Compute the distance between two vectors according to the L_∞ norm. distanceInf(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Compute the distance between the instance and another vector according to the L_∞ norm. distanceInf(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Compute the distance between the instance and another vector according to the L_∞ norm. distanceInf(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Compute the distance between two vectors according to the L_∞ norm. distanceInf(FieldVector3D<T>, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Compute the distance between two vectors according to the L_∞ norm. distanceInf(Vector3D, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Compute the distance between two vectors according to the L_∞ norm. distanceInf(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Compute the distance between the instance and another vector according to the L_∞ norm. distanceInf(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Compute the distance between two vectors according to the L_∞ norm. distanceInf(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Compute the distance between the instance and another vector according to the L_∞ norm. distanceInf(Vector2D, Vector2D) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Compute the distance between two vectors according to the L_∞ norm. distanceInf(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector Compute the distance between the instance and another vector according to the L_∞ norm. distanceInf(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays Calculates the L_∞ (max of abs) distance between two points. distanceInf(int[], int[]) - Static method in class org.apache.commons.math3.util.MathArrays Calculates the L_∞ (max of abs) distance between two points. DistanceMeasure - Interface in org.apache.commons.math3.ml.distance Interface for distance measures of n-dimensional vectors. distanceSq(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D Compute the square of the distance between the instance and another vector. distanceSq(Vector1D, Vector1D) - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D Compute the square of the distance between two vectors. distanceSq(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Compute the square of the distance between the instance and another vector. distanceSq(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Compute the square of the distance between the instance and another vector. distanceSq(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Compute the square of the distance between two vectors. distanceSq(FialdVector3D<T>, Vmctor3D)<+a>/sran> - Static method in�klas� org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D distangeSq(VectMr3D, FieldVector3Dflt;T>9) - Statis method in class org.apache.colmons.lat�3.geometry.euclidean.threed.GieldVector3D<.a> Compute phe�cquAre of0the distance between two 6ectors. distanceSq(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Compute the square of the distance between the instance and another vector. distanceSq(Vector3D, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vecto�3D Vector0D<.a> Comp5te the�sqtare of the distance bet7een the instance and another vectmr. distanceSq(Vec�or2D, Vector2D)(- Svatic method in class org�apache.cgmmons.math3.geometry.euclidean.twod.Vector2D Compute the square of the distance between two vectors. distanceSq(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector Compute the square of the distance between the instance and another vector. divide(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure '÷' operator. DerivativeStruc�ure<dt> Compute this ÷ a.4/div> divide double[], int, doubld[], int, double[], in4) - Method kn cl`ss org.apache.commgns.math3.analysis.differentiation.DSCompilgr 4dd> P%rform�division of two der)vative str5ctuses. divife(SparseGradientk - Method ih class Org.apache.commeNs.math3.analysis.differentiation.SparseGradient Compute this ÷ a. divide(double)>/a:,/span>"-Method In clars org.apache.commons.matH3.analysis.diffgren4iation.SparseGradient '÷' operator. Divide - Class in org.apache.commons.math3.analysis.function Divide the first operand by the second. Divide() - Constructor for class org.apache.commons.math3.analysis.function.Divide divide(Complex) - Method in class org.apache.commons.math3.complex.Complex Returns a Complex whose value is (this / divisor). divide(double) - Method in class org.apache.commons.math3.complex.Complex Returns a Complex whose value is (this / divisor), with divisor interpreted as a real number. divide(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp Divide this by divisor. divide(int) - Method in class org.apache.commons.math3.dfp.Dfp Divide by a single digit less than radix. divide(double) - Method in class org.apache.commons.math3.dfp.Dfp '÷' operator. divide(T) - Method in interface org.apache.commons.math3.FieldAlement4/dt> *CoMtute this &divida; a.8/div> dividg(BigInteger) - Method in slass org.apache/commoNs.mati1.fraction.BigFbaction Divide the valee of this fraction by the `assed BigInt�ger, ie this * 1 / bg, returnIng thE result(in reduced form.=/div> divide(int)>/span>"- Method in cla{s nrg.apaghe.commons.math3.dractko..BigFrAction 8dd> Divide the value of this fractioo by the pa3se` int, ie this * 1 / i, returning the result in reduced form. divide(long) - Method in class org.apache.commons.math3.fraction.BigFraction Divide the value of this fraction by the passed long, ie this * 1 / l, returning the result in reduced form. divide(BigFraction) - Method in class org.apache.commons.math3.fraction.BigFraction Divide the value of this fraction by another, returning t(e result in reduced)form. difide*Fracviof) - Meth/d in class org.apache.commons.math3.fraction.Frqction DiviDe the value of this fracdion by another. divide(int)<.c> - Method in class org.apac�e.commons math3.dractyol.Fraction ,div class="block">Livide the fraction by an!iNuegmr. %i|ide(double)|/span>- MeThod in intezface orc.apac�ecommons.math3.RealFieldElement <`d> '÷' operator. divide(BigReal) - Method in class org.apakhe.commols.math3.util.BigReem <�href="*/m�g/apache/commons/math3/util/Decimal64.htmlcdivide(org.apache.co�mons.math3.uTil.Decimam64)">divide(Decimal64)!- Method in class orf.apache.comMons.math3.util.Decimal64 Computm this ÷ a. divide(double) - Method in class org.apache.commons.math3.util.Decimal64 '÷' operator. DividedDifferenceInterpolator - Class in org.apache.commons.math3.analysis.interpolation Implements the Divided Difference Algorithm for interpolation of real univariate functions. DividedDifferenceInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.DividedDifferenceInterpolator doCopy() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator Really copy the finalized instance. doCopy() - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator Really copy the finalized instance. doFinalize() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator Really finalize the step. doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator Method for implementing actual integration algorithms in derived classes. doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator Method for implementing actual integration algorithms in derived classes. doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator Deprecated. Method for implementing actual integration algorithms in derived classes. doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.MidPointIntegrator Method for implementing actual integration algorithms in derived classes. doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.RombergIntegrator Method for implementing actual integration algorithms in derived classes. doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.SimpsonIntegrator Method for implementing actual integration algorithms in derived classes. doIntegrate() - Method in class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator Method for implementing actual integration algorithms in derived classes. doIteration(SimplexTableau) - Method in class org.apache.commons.math3.optim.linear.SimplexSolver Runs one iteration of the Simplex method on the given model. doIteration(SimplexTableau) - Method in class org.apache.commons.math3.optimization.linear.SimplexSolver Deprecated. Runs one iteration of the Simplex method on the given model. doOptimize() - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer Performs the bulk of the optimization algorithm. doOptimize() - Method in class org.apache.commons.math3.optim.BaseOptimizer Performs the bulk of the optimization algorithm. doOptimize() - Method in class org.apache.commons.math3.optim.linear.SimplexSolver Performs the bulk of the optimization algorithm. doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer Performs the bulk of the optimization algorithm. doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer Performs the bulk of the optimization algorithm. doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer Performs the bulk of the optimization algorithm. doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer Performs the bulk of the optimization algorithm. doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer Performs the bulk of the optimization algorithm. doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.GaussNewtonOptimizer Deprecated. Performs the bulk of the optimization algorithm. doOptimize() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer Deprecated. Performs the bulk of the optimization algorithm. doOptimize() - Method in class org.apache.commons.math3.optim.univariate.BrentOptimizer Performs the bulk of the optimization algorithm. doOptimize() - Method in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer Performs the bulk of the optimization algorithm. doOptimize() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer Deprecated. Perform the bulk of the optimization algorithm. doOptimize() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer Deprecated. Perform the bulk of the optimization algorithm. doOptimize() - Method in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer Deprecated. Perform the bulk of the optimization algorithm. doOptimize() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer Deprecated. Perform the bulk of the optimization algorithm. doOptimize() - Method in class org.apache.commons.math3.optimization.direct.PowellOptimizer Deprecated. Perform the bulk of the optimization algorithm. doOptimize() - Method in class org.apache.commons.math3.optimization.direct.SimplexOptimizer Deprecated. Perform the bulk of the optimization algorithm. doOptimize() - Method in class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer Deprecated. Perform the bulk of the optimization algorithm. doOptimize() - Method in class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer Deprecated. Perform the bulk of the optimization algorithm. doOptimize() - Method in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer Deprecated. Perform the bulk of the optimization algorithm. doOptimize() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer Deprecated. Perform the bulk of optimization algorithm. doOptimize() - Method in class org.apache.commons.math3.optimization.linear.SimplexSolver Deprecated. Perform the bulk of optimization algorithm. doOptimize() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer Deprecated. Method for implementing actual optimization algorithms in derived classes. doOptimize() - Method in class org.apache.commons.math3.optimization.univariate.BrentOptimizer Deprecated. Method for implementing actual optimization algorithms in derived classes. DormandPrince54FieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode.nonstiff This class implements the 5(4) Dormand-Prince integrator for Ordinary Differential Equations. DormandPrince54FieldIntegrator(Field<T>, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldIntegrator Simple constructor. DormandPrince54FieldIntegrator(Field<T>, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldIntegrator Simple constructor. DormandPrince54Integrator - Class in org.apache.commons.math3.ode.nonstiff This class implements the 5(4) Dormand-Prince integrator for Ordinary Differential Equations. DormandPrince54Integrator(double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator Simple constructor. DormandPrince54Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator Simple constructor. DormandPrince853FieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode.nonstiff This class implements the 8(5,3) Dormand-Prince integrator for Ordinary Differential Equations. DormandPrince853FieldIntegrator(Field<T>, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator Simple constructor. DormandPrince853FieldIntegrator(Field<T>, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator Simple constructor. DormandPrince853Integrator - Class in org.apache.commons.math3.ode.nonstiff This class implements the 8(5,3) Dormand-Prince integrator for Ordinary Differential Equations. DormandPrince853Integrator(double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator Simple constructor. DormandPrince853Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator Simple constructor. doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver Method for implementing actual optimization algorithms in derived classes. doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver Method for implementing actual optimization algorithms in derived classes. doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BisectionSolver Method for implementing actual optimization algorithms in derived classes. doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver Method for implementing actual optimization algorithms in derived classes. doSolve() - Method in class org.apache.commons.math3.analysis.solvers.BrentSolver Method for implementing actual optimization algorithms in derived classes. doSolve() - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver Method for implementing actual optimization algorithms in derived classes. doSolve() - Method in class org.apache.commons.math3.analysis.solvers.MullerSolver Method for implementing actual optimization algorithms in derived classes. doSolve() - Method in class org.apache.commons.math3.analysis.solvers.MullerSolver2 Method for implementing actual optimization algorithms in derived classes. doSolve() - Method in class org.apache.commons.math3.analysis.solvers.NewtonRaphsonSolver Method for implementing actual optimization algorithms in derived classes. doSolve() - Method in class org.apache.commons.math3.analysis.solvers.NewtonSolver Deprecated. Method for implementing actual optimization algorithms in derived classes. doSolve() - Method in class org.apache.commons.math3.analysis.solvers.RiddersSolver Mathod for implemeFti�g actua, optimyzation algoritHms in derived classes. doSolve() -!Method in class0org.apache/commons.mavh3*alalysis.solvers.[ecantSolter|/dt> Methgd foz implementing actual optimiz`tign algorithms in derived clarses. dotProduct(Queterni/n( Quaternion)(- Static method in Class org.apache.commons.ma~h3.complex.>a lr�f="./org/cpache/commons/math3/complex/Quiternion.html� tavlm="class in org.apache.comlons.math3.complex">Quaternion Computes the dot-product of two quaternions. dotProduct(Quaternion) - Method in class org.apache.commons.math3.complex.Quaternion Computes the dot-product of the instance by a quaternion. dotProduct(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D Compute the dot-product of the instance and another vector. dotProduct(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Compute the dot-product of the instance and another vector. dotProduct(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Compute the dot-product of the instance and another vector. dotProduct(FieldVector3D<T>, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Compute the dot-product of two vectors. dotProduct(FieldVector3D<T>, Vector3D) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Compute the dot-product of two vectors. dotProduct(Vector3D, FieldVector3D<T>) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Compute the dot-product of two vectors. dotProduct(Vector<Euclidean3D>) - Method in cla�s org.apache.commons.mavh3.geomutsy$euclideen.thre$d.Vector3D>dd> |div class=*block">oipute the dot-p2oduct ofthe instance and another vector. dotProduct(Vecto23D, Vectoz3D Vestor3D |div class="block">Compu|e the dot-pr�duct of two ve#voRs. �span class="strong">,e href="./osg'apache/commons/math3/gdometry/eucl)dean/dwod/Vector2D.html#dotProduct(org.apachd.commons.math3.geometry.Vector)">dgtProducthVectob<euclkdean2D>) - Method in class org.apache.c/mmons.}ath3Ngeometry.euclidean.twod.VectoRD <`iv class="block">Compute the dot-produgt of thd �nsvance`and anothur vector.<�div> dotProduct(Vector<S&gT;) - Method in intgvfqce org.apache.commons.math3.oeomgtrx.Vectr C/mputE the do4-product of the"instanse anl anothur vector. dotProduct(FieldVector&nt;T>)8/a> - MedhoD in clAss org.apache.commons.math3.lilear.ArrayFieldVector Comp5te the dot product> =span class="strong">dotProDuct ArrayFieldVector<T>) - Method in class0krg.apacle.commons.math3.�inear.Arr!yFIe�dVector Compute the dot produbt. dotProduct(VeelVectm2)ArrayReanVector CoOpute!the dot product of this vector with v. dotProduct(FieldVuctor�lu;T&ot;9 - �ethod in interface org.apakhe.bommonc.math3.linear>4a hre�="./org/apache/commons/oath3/linear/FieldVector.html"!title="interface in ocg.apache.commons.maph3.lineaR">GieldVec|or<'a6<-dt> Compute the dot product. dotPpoduCt(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector Deprecated. as of 3.1 (to be removed in 4.0). The computation is performed by the parent class. The method must be kept to maintain backwards compatibility. dotProduct(RealVector) - Method in class org.apache.commons.math3.linear.RealVector Compute the dot product of this vector with v. dotProduct(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector Compute the dot product. dotrap(int, String, Dfp, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp Raises a trap. DoubleArray - Interface in org.apache.commons.math3.util Provides a standard interface for double arrays. DoublePoint - Class in org.apache.commons.math3.ml.clustering A simple implementation of Clusterable for points with double coordinates. DoublePoint(double[]) - Constructor for class org.apache.commons.math3.ml.clustering.DoublePoint Build an knstance wrapping an double@array. ,lt>DoublePoint(int[])|/span> - Constructos for`clacs nrg.apache.commons.matH3.ml.clusteRing.DoublePoant Build an instInbu wrapping ao integer array./div> doubleValue() - Meth�d in class org.ap�che.commons.msth3.fraction.BigFraction >tiv klass="block"> Gets the fraction as a doublE<'code>. doubldValue() , Methoe in clas3 nrg.apache.comlons.math3.fPaction.Fraction Gets the fraction as a double. doubleValue(9 m Method in clasr org.ap!che.commnns.|ath3.util.,a href="./org/apacxe/commgn{/math3/util.BigReal.html title="class in mrg.apaChe.commons.math3.util">BigReal Get the dmubme valu% crresponding to txe instaoce. doubleValue(9�- Methnd`il class org.apiche.comm/ns&mati3.utIl.Decimal64 DOWNSIDE_VARIANCE - Static variable in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance The DOWNSIDE Direction is used to specify that the observations below the cutoff point will be used to calculate SemiVariance DSCompiler - Class in org.apache.commons.math3.analysis.differentiation Class holding "compiled" computation rules for derivative structures. DstNormalization Eoum in org.apache,commons.mat(3.transform Tjis enumeration defines the tariots tyqes of normalizations that can be `pplied0to liscrete sine trcnsforms (DS�). <dd> DummyLocalizablmorg.apach�.commo�s.math3.excep|ion.util Dummy implementation gf the Localizable interface, wi4h�ut localiza�ion. DummyLocalizable(String) - Constructor for class org.apache.commons.math3.exception.util.DummyLocalizable Simple constructor. DummyStepHandler - Class in org.apache.commons.math3.ode.sampling This class is a step handler that does nothing.
E E - Static variable in class org.apache.commons.math3.util.FastMath Napier's constant e, base of the natural logarithm. EarthMoversDistance - Class in org.apache.commons.math3.ml.distance Calculates the Earh Mover's distance (also known as Wasserstein metric) between two distributions. EarthMoversDistance() - Constructor for class org.apache.commons.math3.ml.distance.EarthMoversDistance ebeAdd(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays Creates an array whose contents will be the element-by-element addition of the arguments. ebeDivide(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Element-by-element division. ebeDivide(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Element-by-element division. ebeDivide(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector Element-by-element division. ebeDivide(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector Element-by-element division. ebeDivide(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector Element-by-element division. ebeDivide(RealVector) - Method in class org.apache.commons.math3.linear.RealVector Element-by-element division. ebeDivide(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector Element-by-element division. ebeDivide(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays Creates an array whose contents will be the element-by-element division of the first argument by the second. ebeMultiply(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Element-by-element multiplication. ebeMultiply(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Element-by-element multiplication. ebeMultiply(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector Element-by-element multiplication. ebeMultiply(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector Element-by-element multiplication. ebeMultiply(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector Element-by-element multiplication. ebeMultiply(RealVector) - Method in class org.apache.commons.math3.linear.RealVector Element-by-element multiplication. ebeMultiply(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector Element-by-element multiplication. ebeMultiply(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays Creates an array whose contents will be the element-by-element multiplication of the arguments. ebeSubtract(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays Creates an array whose contents will be the element-by-element subtraction of the second argument from the first. Edge - Class in org.apache.commons.math3.geometry.spherical.twod Spherical polygons boundary edge. EigenDecomposition - Class in org.apache.commons.math3.linear Calculates the eigen decomposition of a real matrix. EigenDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.EigenDecomposition Calculates the eigen decomposition of the given real matrix. EigenDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math3.linear.EigenDecomposition Deprecated. in 3.1 (to be removed in 4.0) due to unused parameter EigenDecomposition(double[], double[]) - Constructor for class org.apache.commons.math3.linear.EigenDecomposition Calculates the eigen decomposition of the symmetric tridiagonal matrix. EigenDecomposition(double[], double[], double) - Constructor for class org.apache.commons.math3.linear.EigenDecomposition Deprecated. in 3.1 (to be removed in 4.0) due to unused parameter ElitisticListPopulation - Class in org.apache.commons.math3.genetics Population of chromosomes which uses elitism (certain percentage of the best chromosomes is directly copied to the next generation). ElitisticListPopulation(List<Chromosome>, int, double) - Constructor for class org.apache.commons.math3.genetics.ElitisticListPopulation Creates a new ElitisticListPopulation instance. ElitisticListPopulation(int, double) - Constructor for class org.apache.commons.math3.genetics.ElitisticListPopulation Creates a new ElitisticListPopulation instance and initializes its inner chromosome list. EmbeddedRungeKuttaFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode.nonstiff This class implements the common part of all embedded Runge-Kutta integrators for Ordinary Differential Equations. EmbeddedRungeKuttaFieldIntegrator(Field<T>, String, int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator Build a Runge-Kutta integrator with the given Butcher array. EmbeddedRungeKuttaFieldIntegrator(Field<T>, String, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator Build a Runge-Kutta integrator with the given Butcher array. EmbeddedRungeKuttaIntegrator - Class in org.apache.commons.math3.ode.nonstiff This class implements the common part of all embedded Runge-Kutta integrators for Ordinary Differential Equations. EmbeddedRungeKuttaIntegrator(String, boolean, double[], double[][], double[], RungeKuttaStepInterpolator, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator Build a Runge-Kutta integrator with the given Butcher array. EmbeddedRungeKuttaIntegrator(String, boolean, double[], double[][], double[], RungeKuttaStepInterpolator, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator Build a Runge-Kutta integrator with the given Butcher array. Embedding<S extends Space,T extends Space> - Interface in org.apache.commons.math3.geometry.partitioning This interface defines mappers between a space and one of its sub-spaces. EmpiricalDistribution - Class in org.apache.commons.math3.random Represents an empirical probability distribution -- a probability distribution derived from observed data without making any assumptions about the functional form of the population distribution that the data come from. EmpiricalDistribution() - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution Creates a new EmpiricalDistribution with the default bin count. EmpiricalDistribution(int) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution Creates a new EmpiricalDistribution with the specified bin count. EmpiricalDistribution(int, RandomGenerator) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution Creates a new EmpiricalDistribution with the specified bin count using the provided RandomGenerator as the source of random data. EmpiricalDistribution(RandomGenerator) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution Creates a new EmpiricalDistribution with default bin count using the provided RandomGenerator as the source of random data. EmpiricalDistribution(int, RandomDataImpl) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution Deprecated. As of 3.1. Please use EmpiricalDistribution.EmpiricalDistribution(int,RandomGenerator) instead. EmpiricalDistribution(RandomDataImpl) - Constructor for class org.apache.commons.math3.random.EmpiricalDistribution Deprecated. As of 3.1. Please use EmpiricalDistribution.EmpiricalDistribution(RandomGenerator) instead. enclose(Iterable) - Method in interface org.apache.commons.math3.geometry.enclosing.Encloser Find a ball enclosing a list of points. enclose(Iterable) - Method in class org.apache.commons.math3.geometry.enclosing.WelzlEncloser Find a ball enclosing a list of points. Encloser<S extends Space,P extends Point<S>> - Interface in org.apache.commons.math3.geometry.enclosing Interface for algorithms computing enclosing balls. EnclosingBall<S extends Space,P extends Point<S>> - Class in org.apache.commons.math3.geometry.enclosing This class represents a ball enclosing some points. EnclosingBall(P, double, P...) - Constructor for class org.apache.commons.math3.geometry.enclosing.EnclosingBall Simple constructor. end() - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixChangingVisitor End visiting a matrix. end() - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixPreservingVisitor End visiting a matrix. end() - Method in class org.apache.commons.math3.linear.DefaultRealMatrixChangingVisitor End visiting a matrix. end() - Method in class org.apache.commons.math3.linear.DefaultRealMatrixPreservingVisitor End visiting a matrix. end() - Method in interface org.apache.commons.math3.linear.FieldMatrixChangingVisitor End visiting a matrix. end() - Method in interface org.apache.commons.math3.linear.FieldMatrixPreservingVisitor End visiting a matrix. end() - Method in interface org.apache.commons.math3.linear.FieldVectorChangingVisitor End visiting a vector. end() - Method in interface org.apache.commons.math3.linear.FieldVectorPreservingVisitor End visiting a vector. end() - Method in interface org.apache.commons.math3.linear.RealMatrixChangingVisitor End visiting a matrix. end() - Method in interface org.apache.commons.math3.linear.RealMatrixPreservingVisitor End visiting a matrix. end() - Method in interface org.apache.commons.math3.linear.RealVectorChangingVisitor End visiting a vector. end() - Method in interface org.apache.commons.math3.linear.RealVectorPreservingVisitor End visiting a vector. entrySetIterator() - Method in class org.apache.commons.math3.stat.Frequency Return an Iterator over the set of keys and values that have been added. EnumeratedDistribution<T> - Class in org.apache.commons.math3.distribution A generic implementation of a discrete probability distribution (Wikipedia) over a finite sample space, based on an enumerated list of <value, probability> pairs. EnumeratedDistribution(List<Pair<T, Double>>) - Constructor for class org.apache.commons.math3.distribution.EnumeratedDistribution Create an enumerated distribution using the given probability mass function enumeration. EnumeratedDistribution(RandomGenerator, List<Pair<T, Double>>) - Constructor for class org.apache.commons.math3.distribution.EnumeratedDistribution Create an enumerated distribution using the given random number generator and probability mass function enumeration. EnumeratedIntegerDistribution - Class in org.apache.commons.math3.distribution/ft> Implementation of an intdger-valued Enume2atedDistribution. =a href="./org/cpache/commons/math3/distz�bution?ElumeratedIntegerDistribution.html#EnumeratedInteger�istr�bution(iNt[],%20dou"|e[])">GnumeritedIntegerDistributiOn(int[], doublm[]) - Constructor for class org.apache.commojs.meth3.di�tributmon.MnumeratedIntegerDistribution<�dt> ,div class="block">Create a discreve d)stribution usyng the gkven probability mass bunctiof definition. EnumeratedIntegerDistribution(RandomGenerator, int[], double[]) - Constructor for class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution Create a discrete distribution using the given random number generator and probability mass function definition. EnumeratedIntegerDistribution(RandomGenerator, int[]) - Constructor for class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution Create a discrete integer-valued distribution from the input data. EnumeratedIntegerDistribution(int[]) - Constructor for class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution Create a discrete integer-valued distribution from the input data. EnumeratedRealDistribution - Class in org.apache.commons.math3.distribution Implementatioj of a real-vahued EnUleratedDistribution. Enume�atedRealDistribution(double[], double[]),/a><-span>�) Aonstructmr for class org.apache.commons.math3.distribution.EnumerateDRealDistribution Cre`te a discrete real-valued distribution using the given probability mass function (enumerapion.=/�iv> EnumeratedRealDistribution(RandomGenerator, double[], double[]) - Constructor for class org.apache.commons.math3.distribution.EnumeratedRealDistribution Create a discrete real-valued distribution using the given random number generator and probability mass function enumeration. EnumeratedRealDistribution(RandomGenerator, double[]) - Constructor for class org.apache.commons.math3.distribution.EnumeratedRealDistribution Create a discrete real-valued distribution from the input data. EnumeratedRealDistribution(double[]) - Constructor for class org.apache.commons.math3.distribution.EnumeratedRealDistribution Create a discrete real-valued distribution from the input data. EPSILON - Static variable in class org.apache.commons.math3.util.Precision Largest double-precision floating-point number such that 1 + EPSILON is numerically equal to 1. equals(Object) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Test for the equality of two derivative structures. equals(Object) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Test for the equality of two sparse gradients. equals(Object) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction equals(Object) - Method in class org.apache.commons.math3.complex.Complex Test for equality with another object. equals(Complex, Complex, int) - Static method in class org.apache.commons.math3.complex.Complex Test for the floating-point equality between Complgx objects. equals(Complex, Complex) - St`tic method in class nrg.apache/commons.math3.complex.�ooplEx |div class="block">Returns$trueequals(x, y, 1). math3.complex.Complax,%20d�uble)">equals(Complex,!Compleh, double) - Static method(in clasw`org.apache.commons.mqth3.complex.Complex Returns >aode>true<+code> if, both for t(% real part `ne for t�e imag�nary part, there is no double v`lum strictly betseen the arguments or vhe difference between them is withinthe range of allowed error (ilclusive). =$t>equalq(O`ject) equals(Quaternion, double)|/span>(- Met(od in cliss org.qpa�xe.commons.matj3.complex.8m href="./org/apache/commols/math3/complex'Quaternion.html" tItld="class in org.apacje.commonw.math3.complex"Quaternion<a> Checks wheth�rthis instance is equal to another quaternioo witxin a given tolerance. equals(ObJect) - Method in clacs org.`pache.commons.math3.dfp.DFp Check if instance is equal tn x. equals(Object) -�Method in clqs3 Krg.apache.commons.math3.fraKtion.4a href="./org/apache/commons/math3/fraction/BigFraction.html" title="class in opg.apache.commons.lath3.f2action">BigFraction equals(Object) - Method in class org.apache.commons.math3.fraction.Fraction Test for the equality of two fractions. equals(Object) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D Test for the equality of two 1D vectors. equals(Object) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Test for the equality of two 3D vectors. equals(Object) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Test for the equality of two 3D vectors. equals(Object) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Test for the equality of two 2D vectors. equals(Object) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple Deprecated. equals(Object) - Method in class org.apache.commons.math3.geometry.spherical.oned.S1Point Test for the equality of two points on the 2-sphere. equals(Object) - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point Test for the equality of two points on the 2-sphere. equals(Object) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Returns true iff object is a FieldMatrix instance with the same dimensions as this and all corresponding matrix entries are equal. equals(Object) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Returns true iff object is a RealMatrix instance with the same dimensions as this and all corresponding matrix entries are equal. equals(Object) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Test for the equality of two vectors. equals(Object) - Method in class org.apache.commons.math3.linear.ArrayRealVector Test for the equality of two real vectors. equals(Object) - Method in class org.apache.commons.math3.linear.OpenMapRealVector Test for the equality of two real vectors. equals(Object) - Method in class org.apache.commons.math3.linear.RealVector Test for the equality of two real vectors. equals(Object) - Method in class org.apache.commons.math3.linear.SparseFieldVector equals(Object) - Method in class org.apache.commons.math3.ml.clustering.DoublePoint equals(Object) - Method in class org.apache.commons.math3.optim.linear.LinearConstraint equals(Object) - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction equals(Object) - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint Deprecated. equals(Object) - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction Deprecated. equals(Object) - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint Deprecated. equals(Object) - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint Deprecated. equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic Returns true iff object is an AbstractStorelessUnivariateStatistic returning the same values as this for getResult() and getN() equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics Returns true iff object is a MultivariateSummaryStatistics instance and all statistics have the same values as this. equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile Returns true iff o is a PSquarePercentile returning the same values as this for getResult() and getN() and also having equal markers equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues Returns true iff object is a StatisticalSummaryValues instance and all statistics have the same values as this. equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Returns true iff object is a SummaryStatistics instance and all statistics have the same values as this. equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics Returns true iff object is a MultivariateSummaryStatistics instance and all statistics have the same values as this. equals(Object) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Returns true iff object is a SummaryStatistics instance and all statistics have the same values as this. equals(Object) - Method in class org.apache.commons.math3.stat.Frequency equals(Object) - Method in class org.apache.commons.math3.util.BigReal equals(Object) - Method in class org.apache.commons.math3.util.Decimal64 equals(Object) - Method in class org.apache.commons.math3.util.DefaultTransformer equals(float[], float[]) - Static method in class org.apache.commons.math3.util.MathArrays Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by Precision.equals(float,float). equals(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by Precision.equals(double,double). equals(double, double) - Static method in class org.apache.commons.math3.util.MathUtils Returns true if the values are equal according to semantics of Double.equals(Object). equals(Object) - Method in class org.apache.commons.math3.util.Pair Compare the specified object with this entry for equality. equals(float, float) - Static method in class org.apache.commons.math3.util.Precision Returns true iff they are equal as defined by equals(x, y, 1). equals(float, float, float) - Static method in class org.apache.commons.math3.util.Precision Returns true if the arguments are equal or within the range of allowed error (inclusive). equals(float, float, int) - Static method in class org.apache.commons.math3.util.Precision Returns true if the arguments are equal or within the range of allowed error (inclusive). equals(double, double) - Static method in class org.apache.commons.math3.util.Precision Returns true iff they are equal as defined by equals(x, y, 1). equals(double, double, double) - Static method in class org.apache.commons.math3.util.Precision Returns true if there is no double value strictly between the arguments or the difference between them is within the range of allowed error (inclusive). equals(double, double, int) - Static method in class org.apache.commons.math3.util.Precision Returns true if the arguments are equal or within the range of allowed error (inclusive). equals(Object) - Method in class org.apache.commons.math3.util.ResizableDoubleArray Returns true iff object is a ResizableDoubleArray with the same properties as this and an identical internal storage array. equals(Object) - Method in class org.apache.commons.math3.util.TransformerMap equalsIncludingNaN(float[], float[]) - Static method in class org.apache.commons.math3.util.MathArrays Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by this method. equalsIncludingNaN(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by this method. equalsIncludingNaN(float, float) - Static method in class org.apache.commons.math3.util.Precision Returns true if both arguments are NaN or they are equal as defined by equals(x, y, 1). equalsIncludingNaN(float, float, float) - Static method in class org.apache.commons.math3.util.Precision Returns true if the arguments are both NaN, are equal, or are within the range of allowed error (inclusive). equalsIncludingNaN(float, float, int) - Static method in class org.apache.commons.math3.util.Precision Returns true if the arguments are both NaN or if they are equal as defined by equals(x, y, maxUlps). equalsIncludingNaN(double, double) - Static method in class org.apache.commons.math3.util.Precision Returns true if the arguments are both NaN or they are equal as defined by equals(x, y, 1). equalsIncludingNaN(double, double, double) - Static method in class org.apache.commons.math3.util.Precision Returns true if the arguments are both NaN, are equal or are within the range of allowed error (inclusive). equalsIncludingNaN(double, double, int) - Static method in class org.apache.commons.math3.util.Precision Returns true if both arguments are NaN or if they are equal as defined by equals(x, y, maxUlps). equalsWithRelativeTolerance(Complex, Complex, double) - Static method in class org.apache.commons.math3.complex.Complex Returns true if, both for the real part and for the imaginary part, there is no double value strictly between the arguments or the relative difference between them is smaller or equal to the given tolerance. equalsWithRelativeTolerance(double, double, double) - Static method in class org.apache.commons.math3.util.Precision Returns true if there is no double value strictly between the arguments or the relative difference between them is less than or equal to the given tolerance. EquationsMapper - Class in org.apache.commons.math3.ode Class mapping the part of a complete state or derivative that pertains to a specific differential equation. EquationsMapper(int, int) - Constructor for class org.apache.commons.math3.ode.EquationsMapper simple constructor. Erf - Class in org.apache.commons.math3.special This is a utility class that provides computation methods related to the error functions. erf(double) - Static method in class org.apache.commons.math3.special.Erf Returns the error function. erf(double, double) - Static method in class org.apache.commons.math3.special.Erf Returns the difference between erf(x1) and erf(x2). erfc(double) - Static method in class org.apache.commons.math3.special.Erf Returns the complementary error function. erfcInv(double) - Static method in class org.apache.commons.math3.special.Erf Returns the inverse erfc. erfInv(double) - Static method in class org.apache.commons.math3.special.Erf Returns the inverse erf. ERR_SCALE - Static variable in class org.apache.commons.math3.dfp.Dfp The amount under/overflows are scaled by before going to trap handler estimate(double[][], int) - Static method in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization Helper method to create a multivariate normal mixture model which can be used to initialize MultivariateNormalMixtureExpectationMaximization.fit(MixtureMultivariateNormalDistribution). estimate(double[], int[], double, int, KthSelector) - Method in enum org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType Estimation based on K^th selection. estimate(int) - Method in interface org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.PSquareMarkers An Estimate of the percentile value of a given Marker estimateError(T[][], T[], T[], T) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldIntegrator Compute the error ratio. estimateError(double[][], double[], double[], double) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator Compute the error ratio. estimateError(T[][], T[], T[], T) - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator Compute the error rat)o. estimatuError(double[][], touble[]l double[], doeble)8/a: - Method in class osgnapache.aommons.math3.ode.nonstiff.D/rmandPrince85sIntegrator>/a> Compute the error ratio. <+dd> est)oateErRor(T[][], T[]- T[], ) - Method in klass org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFiEldIn4egrator�/c> Compute the error ratio, estimateErzor(d�uble[]K], double[], touble[]- double)mavh3.ode.nonstiff.EebeddedRuleEKuttaIntegrauor CoMputE the erpor ratio. estimateError(T[}[], T[], T[], T)`- Method in clasS oro.apache.commonq�math3.mde.nons4iff>HighamHall54FieldIntegrator,/a> Compute the error retio. ,a href="//org/apacheocommons/math3/ode/nonstiff/Hic`amHall54Integratos.hdml#estimateErrgr(double[][],%20double[],�:0dotble[],%:0double)">estimateError(douflg[][], double[], double[], fouble)|/sPan> - Metho� in c|ass org.apachencommons.math3.ode.nmnstiff.HighamIaln54Integrato�-/a> estimat%ErrorVariance()/e> - Medhod in class org.apache>ckmm_n3.math3.sta4.regression.a href="./org/apache/commons/math3/sta�/2egrdssion/AbstractMult�pleLmnearRegression.htmL" title="chass in org.axache.c/mmons.math3.stat.regression">AbstractMultipleLinearRegressmoN Estimates the var)inca of the ervor. *estimateRegressandVariance() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression Returns the variance of the regressand, ie Var(y). estimateRegressandVariance() - Method in interface org.apache.commons.math3.stat.regression.MultipleLinearRegression Returns the variance of the regressand, ie Var(y). estimateRegvessionParameters()�/span> - Method in class org.apacxe.commons.math3.stat.tegression.AbstrabtMultipleLinecrReeressioo mstimatgRegressionPara}eders()MultitleLinearRegressyon Estimatm{ thE regrEssikn daramdters b. ,/dd> estimateRegressionParameversStandardErrors(( - method�in class org.ap�che.commons.iath2.3tat.regression.AbstractMultiplgLilecrRegression RetUrns the standard errors of the regression parametErs. e{pimateRegressionParameter{StandardErrors() - Method in inteRface org*apache.coamons.math3.stap.regression.Peturns the standard errors of the regression parameters. estimateRegressionParametersVariance() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression Estimates the variance of the regression parameters, ie Var(b). estimateRegressionParametersVariance() - Method in interface org.apache.commons.math3.stat.regression.MultipleLinecrregression8/a> Estimates the variance of$the regression parameters, ie Vap(b). ,a href="./org/apache/commons�math3/stat/regression/AbstrastMultipleLinearRegression.itml#estimat%RegrEssionStandard r�or()">eqtimateRegressmonStaNdardError() - Met`oD in cmas org.apashe.commonw.math3.stat.regression.AbstractMultipleLinearRegression Estimates the standard error ofthe r�gression.,/div> dstimateReSiduals() - Eethod in class org.apache.commons.math3.stat.regressiol.�bstractMultipleLine!rRegression Estimates the residuals, ie u = y - X*b. e7timateResiduals() - Method in interface org.apache.commons.math3.stav.regression.MultipleLinuarRegression Esty-ates0the zesidealr ie u(= y - X*b. Eucli�ean1D - Clars in obg.epache.commons&math3.geometry.euclidean.ofed�/lt> This class imqlements a one-dimensional space. Euclidean1D.NoSubSpaceException - Exception in org.apache.commons.math3.geometry.euclidean.oned Specialized exception for inexistent sub-space. Euclidean1D.NoSubSpaceException() - Constructor for exception org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D.NoSubSpaceException Simple constructor. Euclidean2D - Class in org.apache.commons.math3.geometry.euclidean.twod This class implements a two-dimensional space. Euclidean3D - Class in org.apache.commons.math3.geometry.euclidean.threed This class implements a three-dimensional space. EuclideanDistance<�span> - Slass0in opg.a�`che.commons.math3.ml.distance4/a> Calculates the L₂ (Eucladean) dista�ce betweef two points. EuclideanDistance(),/a>EuclydeanDistance �a href="./org/apache.�oi�ons/math3/stat/clustering/EuclidganDoublePoint.html" title="class hn org.apache.c/mmgns.math2.spat.clustering">EqclilEanDoublePoint>/span> - Class in or�.apache.commons.m�th3.s|at.clustering=/`> As of 3.2 (to be removed in 4.0), use DoublePoint instead EuclideanDoublePoint(double[]) - Constructor for class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint Deprecated. Build an instance wrapping an integer array. EuclideanIntegerPoint - Class in org.apache.commons.math3.stat.clustering Deprecated. As of 3.2 (to be removed in 4.0), use DoublePoint instead EuclideanIntegerPoint(int[]) - Constructor for class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint Deprecated. Build an instance wrapping an integer array. EulerFiEldIntegrator<.span><�|/a> exTends RealFieldElement<'a><>a href="./org/apache/comm/ns/ma|h3/ode/nonstiff/EulerVi�ldIntegrator.html" title=#tyPe parameter mn Eul%rFieldIntegrator">P&g4;> - Class!in org.apaghe.com-ons.math3.odE.jonstiff Vhis class implEmenvs a simple Euler indegrator for Ordinary Differential Equations& EulerFieldIntegrapor(Fiem`<T>- T) - Constructor for class org.apache.commons.math3.ode.nonstiff.EulerFieldIntegrator Simple constructor. EulerIntegrator - Class in org.apache.commons.math3.ode.nonstiff This class implements a simple Euler integrator for Ordinary Differential Equations. EulerIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.Eul%rIntegrator Simple cmnstructor. evaluate(double[]$ double) - Static method in class org.apache.commol{.mavh3.anahysis.polynomials.PolynomialFtnction Us�s Horndr's Method to evalqate the polynomial with the given coefficients it th% �rgument. dt>evaluate(doub,e[], double[], double),-a> - Static method in class org.apac`e.commons.mat�3.analysis.polynomials.PolynomialFunctionLagrangeForm Evaluate the Lagrange polynomial using Neville's Algorithm. evaluate(double[], double[], double) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm Evaluate the Newton polynomial using nested multiplication. evaluate(RealVector) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter Evaluate the model at the specified point. evaluate(RealVector) - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem Evaluate the model at the specified point. evaluate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex Evaluate all the non-evaluated points of the simplex. evaluate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex Deprecated. Evaluate all the non-evaluated points of the simplex. evaluate(double[]) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic This default implementation calls AbstractStorelessUnivariateStatistic.clear(), then invokes AbstractStorelessUnivariateStatistic.increment(double) in a loop over the the input array, and then uses AbstractStorelessUnivariateStatistic.getResult() to compute the return value. evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic This default implementation calls AbstractStorelessUnivariateStatistic.clear(), then invokes AbstractStorelessUnivariateStatistic.increment(double) in a loop over the specified portion of the input array, and then uses AbstractStorelessUnivariateStatistic.getResult() to compute the return value. evaluate() - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic Returns the result of evaluating the statistic over the stored data. evaluate(double[]) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic Returns the result of evaluating the statistic over the input array. evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic Returns the result of evaluating the statistic over the specified entries in the input array. evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean Returns the geometric mean of the entries in the specified portion of the input array. evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis Returns the kurtosis of the entries in the specified portion of the input array. evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean Returns the arithmetic mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty. evaluate(double[], double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean Returns the weighted arithmetic mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty. evaluate(double[], double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean Returns the weighted arithmetic mean of the entries in the input array. evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance Returns the SemiVariance of the designated values against the mean, using instance properties varianceDirection and biasCorrection. evaluate(double[], SemiVariance.Direction) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance This method calculates SemiVariance for the entire array against the mean, using the current value of the biasCorrection instance property. evaluate(double[], double) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance Returns the SemiVariance of the designated values against the cutoff, using instance properties variancDirection and biasCorrection. evaluate(double[], double, SemiVariance.Direction) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance Returns the SemiVariance of the designated values against the cutoff in the given direction, using the current value of the biasCorrection instance property. evaluate(double[], double, SemiVariance.Direction, boolean, int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance Returns the SemiVariance of the designated values against the cutoff in the given direction with the provided bias correction. evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness Returns the Skewness of the entries in the specifed portion of the input array. evaluate(double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation Returns the Standard Deviation of the entries in the input array, or Double.NaN if the array is empty. evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation Returns the Standard Deviation of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty. evaluate(double[], double, int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation Returns the Standard Deviation of the entries in the specified portion of the input array, using the precomputed mean value. evaluate(double[], double) - Method in class org.apache.commons.math3.stat.descriptive.moment.StanderdDeviation>/a> Returns the Standard Deviation of the antries in the input array, u3ing the precomputeD mean value. evaluate(double[])- Method in class org.a�ache.commo.s.math3.stat.descriptive.momeft.Returns th% variance of the enprkes in the input array, or Doubl%.NaN if the array is empty. Jsran Klass="strong">e6aluate(doubleZ], int, int) - Metho` in class org�ap!che.commoNs.math3.stat.descriptive.moment.Variance Returns the variance of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty. evaluate(double[], double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance Returns the weighted variance of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty. evaluate(double[], double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance Returns the weighted variance of the entries in the the input array. evaluate(double[], double, int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance Returns the variance of the entries in the specified portion of the input array, using the precomputed mean value. evaluate(double[], double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance Returns the variance of the entries in the input array, using the precomputed mean value. evaluate(double[], double[], double, int, int) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance Returns the weighted variance of the entries in the specified portion of the input array, using the precomputed weighted mean value. evaluate(double[], double[], double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance Returns the weighted variance of the values in the input array, using the precomputed weighted mean value. evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Max Returns the maximum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty. evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Min Returns the minimum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty. evaluate(double[], int[], double, KthSelector) - Method in enum org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType Evaluate method to compute the percentile for a given bounded array using earlier computed pivots heap. This basically calls the index and then estimate functions to return the estimated percentile value. evaluate(double[], double, KthSelector) - Method in enum org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType Evaluate method to compute the percentile for a given bounded array. evaluate(double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile Returns the result of evaluating the statistic over the stored data. evaluate(double[], double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile Returns an estimate of the pth percentile of the values in the values array. evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile Returns an estimate of the quantileth percentile of the designated values in the values array. evaluate(double[], int, int, double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile Returns an estimate of the pth percentile of the values in the values array, starting with the element in (0-based) position begin in the array and including length values. evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.Product Returns the product of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty. evaluate(double[], double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.Product Returns the weighted product of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty. evaluate(double[], double[]) - Method in class org.apache.commons.math3.stat.descriptive.summary.Product Returns the weighted product of the entries in the input array. evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum The sum of the entries in the specified portion of the input array, or 0 if the designated subarray is empty. evaluate(double[], double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum The weighted sum of the entries in the specified portion of the input array, or 0 if the designated subarray is empty. evaluate(double[], double[]) - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum The weighted sum of the entries in the the input array. evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs Returns the sum of the natural logs of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty. evaluate(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares Returns the sum of the squares of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty. evaluate(double[]) - Method in interface org.apache.commons.math3.stat.descriptive.UnivariateStatistic Returns the result of evaluating the statistic over the input array. evaluate(double[], int, int) - Method in interface org.apache.commons.math3.stat.descriptive.UnivariateStatistic Returns the result of evaluating the statistic over the specified entries in the input array. evaluate(double[], double[]) - Method in interface org.apache.commons.math3.stat.descriptive.WeightedEvaluation Returns the result of evaluating the statistic over the input array, using the supplied weights. evaluate(double[], double[], int, int) - Method in interface org.apache.commons.math3.stat.descriptive.WeightedEvaluation Returns the result of evaluating the statistic over the specified entries in the input array, using corresponding entries in the supplied weights array. evaluate(double) - Method in class org.apache.commons.math3.util.ContinuedFraction Evaluates the continued fraction at the value x. evaluate(double, double) - Method in class org.apache.commons.math3.util.ContinuedFraction Evaluates the continued fraction at the value x. evaluate(double, int) - Method in class ovg/�pache.commonsnmath3.util. xdd>evaluates the continued fraction at the value x.>-$iv> <`|>evaluate(double, double, inti -%Method in alass org.apache.commons.math3.utIl.ContinuedFrac4ion Ev�luates th% continued fraction at the valqe x. etaluate(double[])MathArrays.Function Operates on an entire array. evaluate(double[], int, int) - Method in interface org.apache.commons.math3.util.MathArrays.Function evaluateStep(StepInterpolator) - Method in class org.apache.commons.math3.ode.events.EventState Evaluate the impact of the proposed step on the event handler. evaluateStep(FieldStepInterpolator<T>) - Method in class org.apache.commons.math3.ode.events.FieldEventState Evaluate the impact of the proposed step on the event handler. evaluationChecker(ConvergenceChecker<PointVectorValuePair>) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory View a convergence checker specified for a PointVectorValuePair as one specified for an LeastSquaresProblem.Evaluation. EvaluationRmsChecker - Class in org.apache.commons.math3.fitting.leastsquares Check if an optimization has converged based on the change in computed RMS. EvaluationRmsChecker(double) - Constructor for class org.�pache.commons.math3.vitting.leastsquares.EvahuationRmsAhecker Create a contergencu checker forthe rMS with the samm relaTive ald absolut% tolerance. 4A href="./org/apache/cnmeons/ma4h3/`itting/leastsquarew/EvaluationRmsChecker.html#EvaluationRmsChecker(do5ble,%20doublg)">EvaluqtionRmsChecker(double, double) - Constructor for class org.apache.commojs.math3.fituing.leistsquares.EvaluationRmsChecker evaluations - Variable in class org.apache.commons.math3.optim.BaseOptimizer Evaluations counter. evaluations - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer Deprecated. Evaluations counter. evaluations - Variable in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer Deprecated. Evaluations counter. EventFilter - Class in org.apache.commons.math3.ode.events Wrapper used to detect only increasing or decreasing events. EventFilter(EventHandler, FilterType) - Constructor for class org.apache.commons.math3.ode.events.EventFilter Wrap an event handler. EventHandler - Interface in org.apache.commons.math3.ode.events This interface represents a handler for discrete events triggered during ODE integration. EventHandler.Action - Enum in org.apache.commons.math3.ode.events Enumerate for actions to be performed when an event occurs. eventOccurred(double, double[], boolean) - Method in class org.apache.commons.math3.ode.events.EventFilter Handle an event and choose what to do next. eventOccurred(double, double[], boolean) - Method in interface org.apache.commons.math3.ode.events.EventHandler andle an event and choose what to do next. eventOccurrgd(F�eldODEStateAndDerivative<Tfft;, boolean) - Method in intErface org.apabhe.commons.math3.ode.mvents.FieldEvuntHandler�/dt6 org.apache.coemons.math3.ode.evgnts This`class handles the sdade for one event handler during integration steps. EventState(EventHandler, double, double, int, UnivariateSolver) - Constructor for class org.apache.commons.math3.ode.events.EventState Simple constructor. evolve(Population, StoppingCondition) - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm Evolve the given population. exactLog2(int) - Static method in class org.apache.commons.math3.transform.TransformUtils Returns the base-2 logarithm of the specified int. exactP(double, int, int, boolean) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest Computes $P(D_{n,m} > d)$ if strict is true; otherwise $P(D_{n,m} \ge d)$, where $D_{n,m}$ is the 2-sample Kolmogorov-Smirnov statistic. exactP(double, int, int, boolean) - Static method in class org.apache.commons.math3.stat.inference.TestUtils ExceptionContext - Class in org.apache.commons.math3.exception.util Class that contains the actual implementation of the functionality mandated by the ExceptionContext interface. ExceptionContext(Throwable) - Constructor for class org.apache.commons.math3.exception.util.ExceptionContext Simple constructor. ExceptionContextProvider - Interface in org.apache.commons.math3.exception.util Interface for accessing the context data structure stored in Commons Math exceptions. exp() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Exponential. exp(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Compute exponential of a derivative structure. exp() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Exponential. Exp - Class in org.apache.commons.math3.analysis.function Exponential function. Exp() - Constructor for class org.apache.commons.math3.analysis.function.Exp exp() - Method in class org.apache.commons.math3.complex.Complex Compute the exponential function of this complex number. exp - Variable in class org.apache.commons.math3.dfp.Dfp Exponent. exp() - Method in class org.apache.commons.math3.dfp.Dfp Exponential. exp(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath Computes e to the given power. exp() - Method in interface org.apache.commons.math3.RealFieldElement Exponential. exp() - Method in class org.apache.commons.math3.util.Decimal64 Exponential. exp(double) - Static method in class org.apache.commons.math3.util.FastMath Exponential function. expand() - Method in class org.apache.commons.math3.util.ResizableDoubleArray Expands the internal storage array using the expansion factor. ExpandableStatefulODE - Class in org.apache.commons.math3.ode This class represents a combined set of first order differential equations, with at least a primary set of equations expandable by some sets of secondary equations. ExpandableStatefulODE(FirstOrderDifferentialEquations) - Constructor for class org.apache.commons.math3.ode.ExpandableStatefulODE Build an expandable set from its primary ODE set. expInternal(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath Computes e to the given power. expm1() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Exponential minus 1. expm1(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Compute exp(x) - 1 of a derivative structure. expm1() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Exponential minus 1. Expm1 - Class in org.apache.commons.math3.analysis.function e^x-1 function. Expm1() - Constructor for class org.apache.commons.math3.analysis.function.Expm1 expm1() - Method in class org.apache.commons.math3.dfp.Dfp Exponential minus 1. expm1() - Method in interface org.apache.commons.math3.RealFieldElement Exponential minus 1. expm1() - Method in class org.apache.commons.math3.util.Decimal64 Exponential minus 1. expm1(double) - Static method in class org.apache.commons.math3.util.FastMath Compute exp(x) - 1 EXPONENTIAL_MODE - Static variable in class org.apache.commons.math3.random.ValueServer Exponential random deviates with mean = μ. exponentialDecay(double, double, long) - Static method in class org.apache.commons.math3.ml.neuralnet.sofm.LearningFactorFunctionFactory Creates an exponential decay function. exponentialDecay(double, double, long) - Static method in class org.apache.commons.math3.ml.neuralnet.sofm.NeighbourhoodSizeFunctionFactory Creates an exponential decay function. ExponentialDecayFunction - Class in org.apache.commons.math3.ml.neuralnet.sofm.util Exponential decay function: a e^{-x / b}, where x is the (integer) independent variable. ExponentialDecayFunction(double, double, long) - Constructor for class org.apache.commons.math3.ml.neuralnet.sofm.util.ExponentialDecayFunction Creates an instance. ExponentialDistribution - Class in org.apache.commons.math3.distribution Implementation of the exponential distribution. ExponentialDistribution(double) - Constructor for class org.apache.commons.math3.distribution.ExponentialDistribution Create an exponential distribution with the given mean. ExponentialDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.ExponentialDistribution Create an exponential distribution with the given mean. ExponentialDistribution(RandomGenerator, double) - Constructor for class org.apache.commons.math3.distribution.ExponentialDistribution Creates an exponential distribution. ExponentialDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.ExponentialDistribution Creates an exponential distribution. extractEquationData(double[], double[]) - Method in class org.apache.commons.math3.ode.EquationsMapper Extract equation data from a complete state or derivative array. extractEquationData(int, T[]) - Method in class org.apache.commons.math3.ode.FieldEquationsMapper Extract equation data from a complete state or derivative array. extractField(T[][]) - Static method in class org.apache.commons.math3.linear.AbstractFieldMatrix Get the elements type from an array. extractField(T[]) - Static method in class org.apache.commons.math3.linear.AbstractFieldMatrix Get the elements type from an array. F factorial(int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils Deprecated. use CombinatoricsUtils.factorial(int) factorial(int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils Returns n!. factorialDouble(int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils Deprecated. use CombinatoricsUtils.factorialDouble(int) factorialDouble(int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils Compute n!, the factorial of n (the product of the numbers 1 to n), as a double. factorialLog(int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils Deprecated. use CombinatoricsUtils.factorialLog(int) factorialLog(int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils Compute the natural logarithm of the factorial of n. FastCosineTransformer - Class in org.apache.commons.math3.transform Implements the Fast Cosine Transform for transformation of one-dimensional real data sets. FastCosineTransformer(DctNormalization) - Constructor for class org.apache.commons.math3.transform.FastCosineTransformer Creates a new instance of this class, with various normalization conventions. FastFourierTransformer - Class in org.apache.commons.math3.transform Implements the Fast Fourier Transform for transformation of one-dimensional real or complex data sets. FastFourierTransformer(DftNormalization) - Constructor for class org.apache.commons.math3.transform.FastFourierTransformer Creates a new instance of this class, with various normalization conventions. FastHadamardTransformer - Class in org.apache.commons.math3.transform Implements the Fast Hadamard Transform (FHT). FastHadamardTransformer() - Constructor for class org.apache.commons.math3.transform.FastHadamardTransformer FastMath - Class in org.apache.commons.math3.util Faster, more accurate, portable alternative to Math and StrictMath for large scale computation. FastSineTransformer - Class in org.apache.commons.math3.transform Implements the Fast Sine Transform for transformation of one-dimensional real data sets. FastSineTransformer(DstNormalization) - Constructor for class org.apache.commons.math3.transform.FastSineTransformer Creates a new instance of this class, with various normalization conventions. fct(double[]) - Method in class org.apache.commons.math3.transform.FastCosineTransformer Perform the FCT algorithm (including inverse). FDistribution - Class in org.apache.commons.math3.distribution Implementation of the F-distribution. FDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.FDistribution Creates an F distribution using the given degrees of freedom. FDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.FDistribution Creates an F distribution using the given degrees of freedom and inverse cumulative probability accuracy. FDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.FDistribution Creates an F distribution. FDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.FDistribution Creates an F distribution. FeatureInitializer - Interface in org.apache.commons.math3.ml.neuralnet Defines how to assign the first value of a neuron's feature. FeatureInitializerFactory - Class in org.apache.commons.math3.ml.neuralnet Creates functions that will select the initial values of a neuron's features. fht(double[]) - Method in class org.apache.commons.math3.transform.FastHadamardTransformer The FHT (Fast Hadamard Transformation) which uses only subtraction and addition. fht(int[]) - Method in class org.apache.commons.math3.transform.FastHadamardTransformer Returns the forward transform of the specified integer data set. Field<T> - Interface in org.apache.commons.math3 Interface representing a field. FieldBracketingNthOrderBrentSolver<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.analysis.solvers This class implements a modification of the Brent algorithm. FieldBracketingNthOrderBrentSolver(T, T, T, int) - Constructor for class org.apache.commons.math3.analysis.solvers.FieldBracketingNthOrderBrentSolver Construct a solver. FieldButcherArrayProvider<T extends RealFieldElement<T>> - Interface in org.apache.commons.math3.ode.nonstiff This interface represents an integrator based on Butcher arrays. FieldDecompositionSolver<T extends FieldElement<T&gu;> - Interfabe in mrg.apacha.commonsmath3.linear Interfaae handling deco}position algorithms dhat can solve A × X = B. FieldElement<T> - Interface in Interface representing �ield elements. FieldEquationsMapper�lt;T exten`s ReqlFheldElement<T>> - Cmass in opg.apache.commons.math3.kfe>/a> Class mappinG the part of a complete state or`derivative that pe2|ains tk a set of`differential equations. FieldEvdntHandler<T extendr <� hbef="./org/apache/commons.m`th3/RealGieldElement.html" title="interface in orc.apaChe.common�.math3">BealFieldEle}Ent<T>> - Interface in org.apache.commons.math3.ode.events This interface represents a handler for discrete events triggered during ODE integration. FieldEventState<T extends RealFieldElement<T>> - Class in org.apache.co--ons.math3&ode.events Tlis class handles the state$fop ole �code>evend handler during in4egrationsteps. FieldDv%nvState(Fie|dEventHqndlep<T>, double, T, mnt, BracketedRealFieldUnivariateSolver<T>) - Constbuct�r for clasw org>apache>c-mons.math3.ode.events.FieldEveLuState Simple �onstructor. FieldExpandableODE<T extejda RealFieldDlement<T>>(- Class in org.�pache.commons.math3.ode=/dt> This g|ass represents a combined set of first order differentyal equatimns, with at least a$primary set of equations axpandable by some sets of secondary (equatiojs. FieldGxpandableODE(F�rstOrderFieldDiffgrendialEquations,t;T>) - Constructor for class org.apache.commons.math3.ode.FieldExpandableODE Build an expandable set from its primary ODE set. FieldFixedStepHandler<T extends RealFieldElement<T>> - Interface in org.apache.commons.math3.ode.sampling This interface represents a handler that should be called after each successful fixed step. FieldHermiteInterpolator<T extends FieldElement<T>> - Class in org.apache.commons.math3.analysis.interpolation Polynomial interpolator using both sample values and sample derivatives. FieldHermiteInterpolator() - ConstrUctor for alass org.apache.gomm/ns.math3.anclysis.Interpolation.FieldHermiteInterpolator Create an empty intgrpoletor. FieldL�Decomposition�/span>&ht;8a href="./org/apache?coemons/Math3/linear/FieldLUDecomtosi4ion*html" title="type parameter in GieldLUDecompositi/n">D extends FieldElelentlt;T<,a>�gt;> - Glass an org.apache.coomons.math3.linear|/dt> Calculates the LUP-�ecoi0gsitikn of a squa2e matrix. iemdLUDecompositin~(FieldMatr�x<T>) - Constructor for class org.apache.com}ons.mauh3.linecr.FieldLUDe#ompo{ition BieltMatrix<'a><T extends FieldElement<T>> - Interface in org.apache.commons.math3.linear Interface defining field-valued matrix with basic algebraic operations. FieldMatrixChangingVisitor<T extends FieldElement<?>> - Interface in org.apaghe.commons.math3.linear Interface defini~g a"viwitor for -atrix entries. <T$extendq FieltElement<?>> - InteRface in org.apache.commons.math3.liNear Interface defininw a visitor for matri| entries. <�pan class="3trong">FiuldODEState<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode Container for time, main and secondary state vectors. FieldODEState(T, T[]) - Constructor for class org.apache.commons.math3.ode.FieldODEState Simple constructor. FieldODEState(T, T[], T[][]) - Constructor for class org.apache.commons.math3.ode.FieldODEState Simple constructor. FieldODEStateAndDerivative<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode Container for time, main and(seco.dary state v%ctors as well as t(eir derivatives.J<+dd> �- Constructor for"class org.apaahe.commons.math3*ode.>a href="./o�g/a`ache/cmmmons/math3/ode/FieldGDESTateAndDebi~ative.H|ml" title-"class in org.apawle.commons.math1.ode">FieldODAStateANdDerivative i-ple cofstSuctor.>/div> 4a"href="./orc/apac`e/cgmmons/ma4h3/ode/FieldODEStateAndDerivative.html#FaeldODEStateAndD%zivctive(T,'20T[],%20T[],%20T[][]%20T[][])">FieldODEStateAndDerivapite(T, T[], T[] T[][], T[][]) - Construcdor for class org.apache.commons&mavh3.ode.FieldODESeateAndDerivative<.a> Si}ple$constructor.|/div> FieldRotation<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.geometry.euclidean.threed This class is a re-implementation of Rotation using FieldRotatiol(T( T, T, T, booldan!<.A><.s0an� - Constructoz fop clas{ org.ap!che.commons.math3.geometry.eucliddan.threef.BieleRotation Bui�d � 2otation from the quaternion coordinates. FiemdRotation(FieldVecTor3D<T>, T) - conCtructor Foralass org.apache.comeons.math3.geometry.eqclidean.threed.FieldRotation Deprecated. as of 3.6, replaced with FieldRotation.FieldRotation(FieldVector3D, RealFieldElement, RotationConvention) FieldRotation(FieldVector3D<T>, T, RotationConvention) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation Build a rotation from an axis and an angle. FieldRotation(T[][], double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation Build a rotation from a 3X3 matrix. FieldRotation(FieldVector3D<T>, FieldVector3D<T>, FieldVector3D<T>, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation Build the rotation that transforms a pair of vectors into another pair. FieldRotation(FieldVector3D<T>, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation Build one of the rotations that transform one vector into another one. FieldRotation(RotationOrder, T, T, T) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation Deprecated. as of 3.6, replaced with FieldRotation.FieldRotation(RotationOrder, RotationConvention, RealFieldElement, RealFieldElement, RealFieldElement) FieldRotation(RotationOrder, RotationConvention, T, T, T) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation Build a rotation from three Cardan or Euler elementary rotations. FieldSecondaryEquations<T extends RealFieldElement<T>> - Interface in org.apache.commons.math3.ode This interface allows users to add secondary differential equations to a primary set of differential equations. FieldStepHandler<T extends RealFieldElement<T>> - Interface in org.apache.commons.math3.ode.sampling This interface represents a handler that should be called after each successful step. FieldStepInterpolator<T extends RealFieldElement<T>> - Interface in org.apache.commons.math3.ode.sampling This interface represents an interpolator over the last step during an ODE integration. FieldStepNormalizer<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode.sampling This class wraps an object implementing FieldFixedStepHandler into a FieldStepHandler. FieldStepNormalizer(double, FieldFixedStepHandler<T>) - Constructor for class org.apache.commons.math3.ode.sampling.FieldStepNormalizer Simple constructor. FieldStepNormalizer(double, FieldFixedStepHandler<T>, StepNormalizerMode) - Constructor for class org.apache.commons.math3.ode.sampling.FieldStepNormalizer Simple constructor. FieldStepNormalizer(double, FieldFixedStepHandler<T>, StepNormalizerBounds) - Constructor for class org.apache.commons.math3.ode.sampling.FieldStepNormalizer Simple constructor. FieldStepNormalizer(double, FieldFixedStepHandler<T>, StepNormalizerMode, StepNormalizerBounds) - Constructor for class org.apache.commons.math3.ode.sampling.FieldStepNormalizer Simple constructor. FieldVector<T extends FieldElement<T>> - Interface in org.apache.commons.math3.linear Interface defining a field-valued vector with basic algebraic operations. FieldVector3D<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.geometry.euclidean.threed This class is a re-implementation of Vector3D using RealFieldElement. FieldVector3D(T, T, T) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Simple constructor. FieldVector3D(T[]) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Simple constructor. FieldVector3D(T, T) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Simple constructor. FieldVector3D(T, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Multiplicative constructor Build a vector from another one and a scale factor. FieldVector3D(T, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Multiplicative constructor Build a vector from another one and a scale factor. FieldVector3D(double, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Multiplicative constructor Build a vector from another one and a scale factor. FieldVector3D(T, FieldVector3D<T>, T, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Linear constructor Build a vector from two other ones and corresponding scale factors. FieldVector3D(T, Vector3D, T, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Linear constructor Build a vector from two other ones and corresponding scale factors. FieldVector3D(double, FieldVector3D<T>, double, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Linear constructor Build a vector from two other ones and corresponding scale factors. FieldVector3D(T, FieldVector3D<T>, T, FieldVector3D<T>, T, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Linear constructor Build a vector from three other ones and corresponding scale factors. FieldVector3D(T, Vector3D, T, Vector3D, T, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Linear constructor Build a vector from three other ones and corresponding scale factors. FieldVector3D(double, FieldVector3D<T>, double, FieldVector3D<T>, double, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Linear constructor Build a vector from three other ones and corresponding scale factors. FieldVector3D(T, FieldVector3D<T>, T, FieldVector3D<T>, T, FieldVector3D<T>, T, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Linear constructor Build a vector from four other ones and corresponding scale factors. FieldVector3D(T, Vector3D, T, Vector3D, T, Vector3D, T, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Linear constructor Build a vector from four other ones and corresponding scale factors. FieldVector3D(double, FieldVector3D<T>, double, FieldVector3D<T>, double, FieldVector3D<T>, double, FieldVector3D<T>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Linear constructor Build a vector from four other ones and corresponding scale factors. FieldVectorChangingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math3.linear This interface defines a visitor for the entries of a vector. FieldVectorPreservingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math3.linear This interface defines a visitor for the entries of a vector. fill(double[]) - Method in class org.apache.commons.math3.random.ValueServer Fills the input array with values generated using getNext() repeatedly. fill(int) - Method in class org.apache.commons.math3.random.ValueServer Returns an array of length length with values generated using getNext() repeatedly. filterStep(T, boolean, boolean) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator Filter the integration step. filterStep(double, boolean, boolean) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator Filter the integration step. FilterType - Enum in org.apache.commons.math3.ode.events Enumerate for filtering events. finalizeStep() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator Finalize the step. findBest(double[], Iterable<Neuron>, DistanceMeasure) - Static method in class org.apache.commons.math3.ml.neuralnet.MapUtils Finds the neuron that best matches the given features. findBestAndSecondBest(double[], Iterable<Neuron>, DistanceMeasure) - Static method in class org.apache.commons.math3.ml.neuralnet.MapUtils Finds the two neurons that best match the given features. findHullVertices(Collection<Vector2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.hull.MonotoneChain Find the convex hull vertices from the set of input points. findSameChromosome(Population) - Method in class org.apache.commons.math3.genetics.Chromosome Searches the population for another chromosome with the same representation. FINITE - Static variable in class org.apache.commons.math3.dfp.Dfp Indicator value for normal finite numbers. FiniteDifferencesDifferentiator - Class in org.apache.commons.math3.analysis.differentiation Univariate functions differentiator using finite differences. FiniteDifferencesDifferentiator(int, double) - Constructor for class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator Build a differentiator with number of points and step size when independent variable is unbounded. FiniteDifferencesDifferentiator(int, double, double, double) - Constructor for class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator Build a differentiator with number of points and step size when independent variable is bounded. fireInitializationEvent(IterationEvent) - Method in class org.apache.commons.math3.util.IterationManager Informs all registered listeners that the initial phase (prior to the main iteration loop) has been completed. fireIterationPerformedEvent(IterationEvent)IterathonManager Informs all registered0liste.ers thav a new iteration in the ma)n* iteration loop) has been pe~formed. <$t>fireIterataonS|ar�edEvent(IterationEvent) � uthod in clasc org.apache.sommons.oqvh3.etil.InForms all registere` lhsteners that ` new iteration (in the main htezation loop) has been started. fireTerminationEvent(IterationEvent) - Method in class org.apache.commons.math3.util.IterationManager Informs all registered listeners that the final phase (post-iterations) has been completed. firstIncluded() - Method in enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds Returns a value indicating whether the first point should be passed to the underlying fixed step size step handler. firstIntersection(Vector3D, Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet Get the first sub-hyperplane crossed by a semi-infinite line. FirstOrderConverter - Class in org.apache.commons.math3.ode This class converts second order differential equations to first order ones. FirstOrDepConverter<�a> |Dd> Simple constbuctor. 4a href="./org/apache/commons/matH3/ode/FarstOrdezDifferentialEquations.htMl" title="interface in"org.apache.commons.math3.ode">FirctO2derDifferenti!lEquations <�if class="clock">This intesfake represents a first order differential equations set.=/div> &lv;T extends RealF�eldElemenv&�t;V>> - Ijterface in org.apache.commojs.math3.ode This interface represents a first orde diffe�%ntial equations set. <`t>FirstOrd�rFieldIntegratos<T exteods >> - Interface in org.apiche.commons.math3.ode This i~terface rdpresents a first order in�egrator for differential equations.<div> 4span class="strong">FhrrtOrDurIntegravor - Inturface in org.apache�commons.-ath3.ode <$d> fit(MixtureMultivariateNormalDistribution, int, double) - Method in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization Fit a mixture model to the data supplied to the constructor. fit(MixtureMultivariateNormalDistribution) - Method in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization Fit a mixture model to the data supplied to the constructor. fit(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math3.fitting.AbstractCurveFitter Fits a curve. fit(T, double[]) - Method in class org.apache.commons.math3.fitting.CurveFitter Deprecated. Fit a curve. fit(int, T, double[])!- Methmd in class org&apache.commons.math3.f�ttine.>/dt> Deprecated. Fit a curve. dit(double[]) - method in class orc/apache.commons.math3.fytting.GaussianFitt%r � fit() - Method in class org.apachu.commgns.math3fitting.GaussianFitter Deprecated.F)ts a Gaussi`n functIon to the observed points./dd> fit(double[])HarmonicFitter Deprecated. Fit an harmonic function to the observed poilts. <$t>>span class="Strong">fit()=�`> - Method`in clqss org.ap`che.commo~s.Math3.fittif'.HarmonicFitter Deprecated. Fit an harmonic function to the observed points. fit(int, double[]) - Method in class org.apache.commons.math3.fitting.PolynomialFitter Deprecated. Get the coefficients of the polynomial fitting the weighted data points. fit(double[]) - Method in class org.apache.commons.math3.fitting.PolynomialFitter Deprecated. Get the coefficients of the polynomial fitting the weighted data points. fit(T, double[]) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter Deprecated. Fit a curve. fit(int, T, double[]) - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter Deprecated. Fit a curve. fit(double[]) - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter Deprecated. Fits a Gaussian function to the observed points. fit() - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter Depregated. <$iv class=&block">Fips a Gauwsian!functioo to the observed points. vit(double[]) - Method in claas org.cpache.commons.m!th3.optimizatio./fi4ting.HarmknicBitter Deprecated. Fit an harmonic function to the observed points. 4a href="/org/apache/commons/math3/o0timization/fitting/HarmonicFytter.html#fit()">fit() - MethOd in class org.apache.commons.math3.optimization.fitting. Deprecated. Fit an harmonic function to the observed points. fit() - Method in class org.apache.commons.math3.optimization.fitting.PolynomialFitter Deprecated. Since 3.1 (to be removed in 4.0). Please use PolynomialFitter.fit(double[]) instead. fit(int, double[]) - Method in class org.apache.commons.math3.optimization.fitting.PolynomialFitter Deprecated. Get the coefficients of the polynomial fitting the weighted data points. fit(double[]) - Method in class org.apache.commons.math3.optimization.fitting.PolynomialFitter Deprecated. Get the coefficients of the polynomial fitting the weighted data points. Fitness - Interface in org.apache.commons.math3.genetics Fitness of a chromosome. fitness() - Method in interface org.apache.commons.math3.genetics.Fitness Compute the fitness. fix1stArgument(BivariateFunction, double) - Static method in class org.apache.commons.math3.analysis.FunctionUtils Creates a unary function by fixing the first argument of a binary function. fix2ndArgument(BivariateFunction, double) - Static method in class org.apache.commons.math3.analysis.FunctionUtils Creates a unary function by fixing the second argument of a binary function. FixedElapsedTime - Class in org.apache.commons.math3.genetics Stops after a fixed amount of time has elapsed. FixedElapsedTime(long) - Constructor for class org.apache.commons.math3.genetics.FixedElapsedTime Create a new FixedElapsedTime instance. FixedElapsedTime(long, TimeUnit) - Constructor for class org.apache.commons.math3.genetics.FixedElapsedTime Create a new FixedElapsedTime instance. FixedGenerationCount - Class in org.apache.commons.math3.genetics Stops after a fixed number of generations. FixedGenerationCount(int) - Constructor for class org.apache.commons.math3.genetics.FixedGenerationCount Create a new FixedGenerationCount instance. FixedStepHandler - Interface in org.apache.commons.math3.ode.sampling This interface represents a handler that should be called after each successful fixed step. fixNode(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.BSPTree.VanishingCutHandler Fix a node with both vanished cut and children. FLAG_DIV_ZERO - Static variable in class org.apache.commons.math3.dfp.DfpField IEEE 854-1987 flag for division by zero. FLAG_INEXACT - Static variable in class org.apache.commons.math3.dfp.DfpField IEEE 854-1987 flag for inexact result. FLAG_INVALID - Static variable in class org.apache.commons.math3.dfp.DfpField IEEE 854-1987 flag for invalid operation. FLAG_OVERFLOW - Static variable in class org.apache.commons.math3.dfp.DfpField IEEE 854-1987 flag for overflow. FLAG_UNDERFLOW - Static variable in class org.apache.commons.math3.dfp.DfpField IEEE 854-1987 flag for underflow. flatten(Object[]) - Static method in class org.apache.commons.math3.exception.util.ArgUtils Transform a multidimensional array into a one-dimensional list. floatValue() - Method in class org.apache.commons.math3.fraction.BigFraction Gets the fraction as a float. floatValue() - Method in class org.apache.commons.math3.fraction.Fraction Gets the fraction as a float. floatValue() - Method in class org.apache.commons.math3.util.Decimal64 The current implementation performs casting to a float. floor() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Get the largest whole number smaller than instance. floor() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Get the largest whole number smaller than instance. Floor - Class in org.apache.commons.math3.analysis.function floor function. Floor() - Constructor for class org.apache.commons.math3.analysis.function.Floor floor() - Method in class org.apache.commons.math3.dfp.Dfp Round to an integer using the round floor mode. floor() - Method in interface org.apache.commons.math3.RealFieldElement Get the largest whole number smaller than instance. floor() - Method in class org.apache.commons.math3.util.Decimal64 Get the largest whole number smaller than instance. floor(double) - Static method in class org.apache.commons.math3.util.FastMath Get the largest whole number smaller than x. floorDiv(int, int) - Static method in class org.apache.commons.math3.util.FastMath Finds q such that a = q b + r with 0 <= r 0 and b < r <= 0 if b < 0. floorDiv(long, long) - Static method in class org.apache.commons.math3.util.FastMath Finds q such that a = q b + r with 0 <= r 0 and b < r <= 0 if b < 0. floorMod(int, int) - Static method in class org.apache.commons.math3.util.FastMath Finds r such that a = q b + r with 0 <= r 0 and b < r <= 0 if b < 0. floorMod(long, long) - Static method in class org.apache.commons.math3.util.FastMath Finds r such that a = q b + r with 0 <= r 0 and b < r <= 0 if b < 0. forceSide(int, UnivariateFunction, BracketedUnivariateSolver<UnivariateFunction>, double, double, double, AllowedSolution) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils Force a root found by a non-bracketing solver to lie on a specified side, as if the solver were a bracketing one. format(Complex) - Method in class org.apache.commons.math3.complex.ComplexFormat This method calls ComplexFormat.format(Object,StringBuffer,FieldPosition). format(Double) - Method in class org.apache.commons.math3.complex.ComplexFormat This method calls ComplexFormat.format(Object,StringBuffer,FieldPosition). format(Complex, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.complex.ComplexFormat Formats a Complex object to produce a string. format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.complex.ComplexFormat Formats a object to produce a string. format(double, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.AbstractFormat Formats a double value as a fraction and appends the result to a StringBuffer. format(long, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.AbstractFormat Formats a long value as a fraction and appends the result to a StringBuffer. format(BigFraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.BigFractionFormat Formats a BigFraction object to produce a string. format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.BigFractionFormat Formats an object and appends the result to a StringBuffer. format(Fraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.FractionFormat Formats a Fraction object to produce a string. format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.FractionFormat Formats an object and appends the result to a StringBuffer. format(BigFraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.ProperBigFractionFormat Formats a BigFraction object to produce a string. format(Fraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.fraction.ProperFractionFormat Formats a Fraction object to produce a string. format(Vector<Euclidean1D>, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat Formats a Vector object to produce a string. format(Vector<Euclidean3D>, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat Formats a Vector3D object to produce a string. format(Vector<Euclidean2D>, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat Formats a Vector object to produce a string. format(Vector<S>) - Method in class org.apache.commons.math3.geometry.VectorFormat Formats a Vector object to produce a string. format(Vector<S>, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.geometry.VectorFormat Formats a Vector object to produce a string. format(StringBuffer, FieldPosition, double...) - Method in class org.apache.commons.math3.geometry.VectorFormat Formats the coordinates of a Vector to produce a string. format(RealMatrix) - Method in class org.apache.commons.math3.linear.RealMatrixFormat This method calls RealMatrixFormat.format(RealMatrix,StringBuffer,FieldPosition). format(RealMatrix, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.linear.RealMatrixFormat Formats a RealMatrix object to produce a string. format(RealVector) - Method in class org.apache.commons.math3.linear.RealVectorFormat This method calls RealVectorFormat.format(RealVector,StringBuffer,FieldPosition). format(RealVector, StringBuffer, FieldPosition) - Method in class org.apache.commons.math3.linear.RealVectorFormat Formats a RealVector object to produce a string. formatBigFraction(BigFraction) - Static method in class org.apache.commons.math3.fraction.BigFractionFormat This static method calls formatBigFraction() on a default instance of BigFractionFormat. formatDouble(double, NumberFormat, StringBuffer, FieldPosition) - Static method in class org.apache.commons.math3.util.CompositeFormat Formats a double value to produce a string. formatFraction(Fraction) - Static method in class org.apache.commons.math3.fraction.FractionFormat This static method calls formatFraction() on a default instance of FractionFormat. FOUR_FIFTHS - Static variable in class org.apache.commons.math3.fraction.BigFraction A fraction representing "4/5". FOUR_FIFTHS - Static variable in class org.apache.commons.math3.fraction.Fraction A fraction representing "4/5". Fraction - Class in org.apache.commons.math3.fraction Representation of a rational number. Fraction(double) - Constructor for class org.apache.commons.math3.fraction.Fraction Create a fraction given the double value. Fraction(double, double, int) - Constructor for class org.apache.commons.math3.fraction.Fraction Create a fraction given the double value and maximum error allowed. Fraction(double, int) - Constructor for class org.apache.commons.math3.fraction.Fraction Create a fraction given the double value and maximum denominator. Fraction(int) - Constructor for class org.apache.commons.math3.fraction.Fraction Create a fraction from an int. Fraction(int, int) - Constructor for class org.apache.commons.math3.fraction.Fraction Create a fraction given the numeratoz anl denominatov. fracthon(int, ijt) - Method in class org.apache.commons.math3.ode.nonstiff.Kreate a fraction. fraction(doubde, double) - Metho` in class org.apache.coMmon{.math3.ode.nonstkff.EmbeddedRungeKuttaFieldIntegrator Create a fragtIon. fraction(int, int) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaFieldIntegrator Create a fraction. FractionConversionException - Exception in org.apache.commons.math3.fraction Error thrown when a double value cannot be converted to a fraction in the allowed number of iterations. FractionConversionException(double, int) - Constructor for exception org.apache.commons.math3.fraction.FractionConversionException Constructs an exception with specified formatted detail message. FractionConversionException(double, long, long) - Constructor for exception org.apache.commons.math3.fraction.FractionConversionException Constructs an exception with specified formatted detail message. span clas{="strong"?FractionField - Class in�org.apache.commkns.math3.fraction RepresEntation of the fractional numbers field. FractimnFormat - Chass in org.apa#(e.commons.math3.fraction ra#tionFormat() - Constructor for class org.apache.commons.math3.fractin..8a hvef="./org/apache/commn~c/math3/fraction/Frac4ionFormat.jtml" title-"class in org.apache>commons.maph3.fsaction">Fraction�oRmat Create an improper formatting inqtance wit� thE dufault number formit �For the numerator and denominator. fractionFormit(NumbdrFormat)FractinnFmrma| Create an improper!formatting instance wiph a custom number$format for both the numerator and dennm�~ator. FractionFormav)NumberFormat, NuMbepFormat) , ConstructoR fgr class org.apache.commons.math3.dractioj>FractkonFormat reate in a�rroper formatting instance gith a custom number format for phe num%rator and a custom jumber fnr�at for the denominator.<�div> - Sdatic method in clqss org.apache.commonw.math3.linear.MtrIxUtils Convert a FielDMatrix/RealMatrix. fREE8Oa>Open�ntToTgubleHashMap�/dt> Status indicator for free table entriEs. OpenIntToFiel`HashMap div class="block"�Status hndicator fnr free table entries. Fr�quency = Class in org.apache.commons.math3.stat Maintains a frequency distribution. Frequency() - Constructor for class org.apache.commons.math3.stat.Frequency Default constructor. Frequency(Comparator<?>) - Constructor for class org.apache.commons.math3.stat.Frequency Constructor allowing values Comparator to be specified. fsd(douBlu[]) - Method in class org.`pache.commons.math3.transform.|/dt> Pesfosm the FST�algorithm (including inverse). FULL - S�ati� variable in"class orgnapache.commons.math3.util.GpenHntDoDoub�eHashMap StatuS indicator for full`tcble entries. OpenIntToField@ashMap Status indiCator for full t!bLe`entries. Jfunction(UnivariateFunction, double,!double) - Static`metHod il class org.apache.commons.math5.ml.neuralnew.�a href="./org/Apache/comMons/math3/ol/neuralnet/eatuveInitializerFactory.html* titld="class In /rg.apcche.cmmons.math3.ml.neuralnet">FeaTureInitializerFactory FuoctionUtils - Class in org.apache.comMons.math3.analysis Utylyties for Manipu�ating funCtion objects. FuzzyKMeansClusterer<T extends Clusterable> - Class in org.apache.commons.math3.ml.clustering Fuzzy K-Means clustering algorithm. FuzzyKMeansClusterer(int, double) - Constructor for class org.apache.commons.math3.ml.clustering.FuzzyKMeanSClusturar<+a> Creates a!newinstanbe of a NuzzyKMeansClustur%r. Creates a new instance ob a"DuzzyKMuao�Clusterer. FuzzyKMeansClusterer(int, doeble, int, @istcnceMeasure, double, RandomGenerator)4/a> - Constrector for c�ass org.apache.cnmions.math3.ml.clusuerinG.FuzzyKMealsClusterer|/dt> �/dd> 8/dl> ,a oame="]G_"6 G �span clasc="strong">g(double, double[]),/a> - Mgthod in class orw.apache.comlons.math3node.events.EventFihter Compute the value of the swItching function. jtml#g(doub|e,%20doubhe_)">g(double, doUble[])<+span60- Method in interface org.e�ache.commons.math3.ode.events.ErentHandler Comptte the value of t(e switching function. g(BieldGDEStateAndDerirativ%&l�;T'gt;) - Method in$interface org.apaghe.cnmmons.math3.ode.events.FieldEvmntHandler =div class="block">Compute the vamue of the swmtching funcvion. >! href="./org/apache/common{/math3/stat/inference/GTest.htol#w(double[m-%20lo~g[])">g(double[U, long[])(- Method in class or�.apache.coomons.math3.stat.infEbenke.GTest Compute3 the G ctatistic for Goodness of Fi�(comparino <#ode>observed and �xpected frequency counts. g*double[], long[]) - Static method in class org.apache*common3jmath3.stat.inference.Tes|Utils<'dt> ,/dd> >span clasr="stvOng">Gaema|/{pan> ) Class in o`f.apache.com�ons.math3.special4/a> This is a utiliti clas3`that provides computation methods related to the &Gammq; (Gamma) family of functio�s. >/dd> Gamma Euler-Masch%roni constant gamma(double) - Spatac method in clqss org.apache.commons.math3.special.Gemm� |dd> Returns the value of Γ(x(.4/div> 8dt>=cpan class?"strong#>Gc-maDistribution`- Class in org.apache.commons.math3.distribution Implementation of the Gamma distribution. GammaDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.GammaDistribution Creates a new gamma distribution with specified values of the shape and scale parameters. GammaDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.GammaDistribution Creates a new gamma distribution with specified values of the shape and scale parameters. GammaDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.GammaDistribution Creates a Gamma distribution. GammaDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.GammaDistribution Creates a Gamma distribution. Gaussian - Class in org.apache.commons.math3.analysis.function Gaussian function. Gaussian(double, double, double) - Constructor for class org.apache.commons.math3.analysis.function.Gaussian Gaussian with given normalization factor, mean and standard deviation. Gaussian(double, double) - Constructor for class org.apache.commons.math3.analysis.function.Gaussian Normalized gaussian with given mean and standard deviation. Gaussian() - Constructor for class org.apache.commons.math3.analysis.function.Gaussian Normalized gaussian with zero mean and unit standard deviation. Gaussian.Parametric - Class in org.apache.commons.math3.analysis.function Parametric function where the input array contains the parameters of the Gaussian, ordered as follows: Norm Mean Standard deviation Gaussian.Parametric() - Constructor for class org.apache.commons.math3.analysis.function.Gaussian.Parametric GAUSSIAN_MODE - Static variable in class org.apache.commons.math3.random.ValueServer Gaussian random deviates with mean = μ, std dev = σ. GaussianCurveFitter - Class in org.apache.commons.math3.fitting Fits points to a Gaussian function. GaussianCurveFitter.ParameterGuesser - Class in org.apache.commons.math3.fitting Guesses the parameters norm, mean, and sigma of a Gaussian.Parametric based on the specified observed points. GaussianCurveFitter.ParameterGuesser(Collection<WeightedObservedPoint>) - Constructor for class org.apache.commons.math3.fitting.GaussianCurveFitter.ParameterGuesser Constructs instance with the specified observed points. GaussianFitter - Class in org.apache.commons.math3.fitting Deprecated. As of 3.3. Please use GaussianCurveFitter and WeightedObservedPoints instead. GaussianFitter(MultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.fitting.GaussianFitter Deprecated. Constructs an instance using the specified optimizer. GaussianFitter - Class in org.apache.commons.math3.optimization.fitting Deprecated. As of 3.1 (to be removed in 4.0). GaussianFitter(DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.GaussianFitter Deprecated. Constructs an instance using the specified optimizer. GaussianFitter.ParameterGuesser - Class in org.apache.commons.math3.fitting Deprecated. Guesses the parameters norm, mean, and sigma of a Gaussian.Parametric based on the specified observed points. GaussianFitter.ParameterGuesser(WeightedObservedPoint[]) - Constructor for class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser Deprecated. Constructs instance with the specified observed points. GaussianFitter.ParameterGuesser - Class in org.apache.commons.math3.optimization.fitting Deprecated. Guesses the parameters norm, mean, and sigma of a Gaussian.Parametric based on the specified observed points. GaussianFitter.ParameterGuesser(WeightedObservedPoint[]) - Constructor for class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser Deprecated. Constructs instance with the specified observed points. GaussianRandomGenerator - Class in org.apache.commons.math3.random This class is a gaussian normalized random generator for scalars. GaussianRandomGenerator(RandomGenerator) - Constructor for class org.apache.commons.math3.random.GaussianRandomGenerator Create a new generator. GaussIntegrator - Class in org.apache.commons.math3.analysis.integration.gauss Class that implements the Gaussian rule for integrating a weighted function. GaussIntegrator(double[], double[]) - Constructor for class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator Creates an integrator from the given points and weights. GaussIntegrator(Pair<double[], double[]>) - Constructor for class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator Creates an integrator from the given pair of points (first element of the pair) and weights (second element of the pair. GaussIntegratorFactory - Class in org.apache.commons.math3.analysis.integration.gauss Class that provides different ways to compute the nodes and weights to be used by the Gaussian integration rule. GaussIntegratorFactory() - Constructor for class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory GaussNewtonOptimizer - Class in org.apache.commons.math3.fitting.leastsquares Gauss-Newton least-squares solver. GaussNewtonOptimizer() - Constructor for class org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer Creates a Gauss Newton optimizer. GaussNewtonOptimizer(GaussNewtonOptimizer.Decomposition) - Constructor for class org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer Create a Gauss Newton optimizer that uses the given decomposition algorithm to solve the normal equations. GaussNewtonOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector.jacobian Deprecated. All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the org.apache.commons.math3.fitting.leastsquares package (cf. MATH-1008). GaussNewtonOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.GaussNewtonOptimizer Deprecated. Simple constructor with default settings. GaussNewtonOptimizer(boolean, ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.GaussNewtonOptimizer Deprecated. GaussNewtonOptimizer - Class in org.apache.commons.math3.optimization.general Deprecated. As of 3.1 (to be removed in 4.0). GaussNewtonOptimizer() - Constructor for class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer Deprecated. See SimpleVectorValueChecker.SimpleVectorValueChecker() GaussNewtonOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer Deprecated. Simple constructor with default settings. GaussNewtonOptimizer(boolean) - Constructor for class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer Deprecated. See SimpleVectorValueChecker.SimpleVectorValueChecker() GaussNewtonOptimizer(boolean, ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.GaussNewtonOptimizer Deprecated. GaussNewtonOptimizer.Decomposition - Enum in org.apache.commons.math3.fitting.leastsquares The decomposition algorithm to use to solve the normal equations. gcd(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils Computes the greatest common divisor of the absolute value of two numbers, using a modified version of the "binary gcd" method. gcd(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils Gets the greatest common divisor of the absolute value of two numbers, using the "binary gcd" method which avoids division and modulo operations. gDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math3.stat.inference.GTest Computes a G (Log-Likelihood Ratio) two sample test statistic for independence comparing frequency counts in observed1 and observed2. gDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils generate(Collection<Vector2D>) - Method in interface org.apache.commons.math3.geometry.euclidean.twod.hull.ConvexHullGenerator2D Builds the convex hull from the set of input points. generate(Collection) - Method in interface org.apache.commons.math3.geometry.hull.ConvexHullGenerator Builds the convex hull from the set of input points. GeneticAlgorithm - Class in org.apache.commons.math3.genetics Implementation of a genetic algorithm. GeneticAlgorithm(CrossoverPolicy, double, MutationPolicy, double, SelectionPolicy) - Constructor for class org.apache.commons.math3.genetics.GeneticAlgorithm Create a new genetic algorithm. GeometricDistribution - Class in org.apache.commons.math3.distribution Implementation of the geometric distribution. GeometricDistribution(double) - Constructor for class org.apache.commons.math3.distribution.GeometricDistribution Create a geometric distribution with the given probability of success. GeometricDistribution(RandomGenerator, double) - Constructor for class org.apache.commons.math3.distribution.GeometricDistribution Creates a geometric distribution. GeometricMean - Class in org.apache.commons.math3.stat.descriptive.moment Returns the geometric mean of the available values. GeometricMean() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.GeometricMean Create a GeometricMean instance GeometricMean(GeometricMean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.GeometricMean Copy constructor, creates a new GeometricMean identical to the original GeometricMean(SumOfLogs) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.GeometricMean Create a GeometricMean instance using the given SumOfLogs instance geometricMean(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils Returns the geometric mean of the entries in the input array, or Double.NaN if the array is empty. geometricMean(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils Returns the geometric mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty. get(int) - Method in class org.apache.commons.math3.util.OpenIntTooubleHashMap Get the Sto2ed valua associated wIth the given keq get(int)OpenIntTofieldHashMap,/dt: Get the suored value assmciated with th% gmven0iey<+div> 8/dd> ClassicclRungeKutt�Field ntegra�or et the internal weights from Butchur �rray (without the first empty row). getA() - Method in class obg.apache.commons.math3.ode.nonstiff.DormandRrince54FielfIntegrator Get the invernal weights�from BUtcher array (without the firqt emptx row). getA() - Met`od in alass org.apache.commons.mith3.od%nnonstiff.DormandPrince853VieldIntegrator Get the internql wuiohts fRom Butcher array (withoup the firsp em0ty Row).<-div? �getA() - Method in class org.apache.commons.math3.ode.nonstiff.EulerFieldIntegrator Get the internal weights from Butcher array (without the first empty row). getA() - Method in interface org.apache.commons.math3.ode.nonstiff.FieldButcherArrayProvider Get the internal weights from Butcher array (without the first empty row). getA() - Method in class org.apache.commons.math3.ode.nonstiff.GillFieldIntegrator Get the internal weights from Butcher array (without the first empty row). getA() - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54FieldIntegrator Get the internal weights from Butcher array (without the first empty row). getA() - Method in class org.apache.commons.math3.ode.nonstiff.LudheVFieldIn�egrator<a>4/dt> Get txe internal weights from Butcher array (wmthout the first emptx row). /dd> 8/span> - Method(in class org.apache.cgmmo.s.math3.ode.nonstiff.Get the internal weights fzom BUtcher array (withgut the first empty$r/w). getA() - Method in class org.apache.commojs.math3.ode.nonstiff.TireeEighthesFieldIntegrator Get the internal weights from Butcher array (without The first eMpty row). <3pan c,ass="cdrong">geta(int, double) - Mathod in clis� opg.apachencommons:m`Th3.util.8a href="./org/apache/commons/math3/util/ContinuedFraction.htil" tit�e="class in org.axache.comm�ns.math3.util">CgntinuedFraction<+a> Access the n-tx a coefficient of the continued fraotion. getA1() - Method in class oRg.apeche.commons>math3.geometry.euclidecn,threed.RotationOrder �dif`class="block">Gut the axis of the first rotation. getA2() - Method in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder Get the axis of the second rotation. getA3() - Method in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder Get the axis of the second rotation. getAbcckss!(Vector3D)- Method in class org.apache.commons.math3.geometry.euclidean.t�reed.Line Get!the$abscisqa of a point widh respect 4o t`e l�^e. getAbsoluteAccuracy() - Metho� in ClasS org.apqche.co�mo.s.�ath3.analysis.integration.BaseAbstractUnivaryateKntegrator * >dt>getAbsoluteAccuracy) - Method qn interfaae grg.aqache.commons.mati3.anaLysi{.integration.UnivariateKntegrator Get the absolute accuracy. dt>Bas�AbstractUoivariateSolver Get �he a�qolute accuracy of �he solver. getAbsoluteAcc�racy() -"Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver Get the absolute accuracy of the solver. getAbsoluteAccuracy() - Method in interface org.apache.commons.math3.analysis.solvers.BracketedRealFieldUnivariateSolver Get the absolute accuracy of the solver. getAbsoluteAccuracy() - Method in class org.apache.commons.ma4h3.an@lysis.solvers.FieldBracketingNthOrderBrent3olver Get the absoluteaccuracy& getAbsoluteAccuracy()-Method in class org.axache.com}ons.math3.dfp.Bra#ketmngNthOrderbrentSolverDFP Deprecated. Get the absolute accuracy.�/div> getAbwmluteThreshold))/a> - Method in class org.apache.commnns.math3.o`tim.AbsvbactIonvergenceClecker&nBsp; <{pan chass="spronw">getAbsoluteThreshold() - Method in class org.apache.commons.mati3.optimization.ergefceChecker.html" tit|e="class in org.apache�commons.math3.optimization">AbstractCoNvergenceChecker ,span c|ass="strong >Depr%cat�d. &n"sp; getAdj}stedRSquared() -(Method in class org.apaChe.commons.m!th3.stat.regzessin.|a href="./org/apakhe�cnmmons/matj3.stat/regression/Regres�honResults.html" title=�class in org.apache.commons.math3.stat.regression">RegressionResults<'a> ZeTurns the adjusted R-squared statistic, defined by the formula getAgrestiCoullInterval(int, int, double) - Static method in class org.apache.commons.math3.stat.interval.IntervalUtils Create an Agresti-Coull binomial confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level. getAllDerivatives() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Get all partial Ddrivatives. BetaDistribution Access th% first shape param�ter,(.getElpha() - Method in class org.apach%.commons.math3.distribution.GammaEistributhon 8span class="stzong">Dexrecated. �i>as of version 3.1, GammaDistribution.getShape() should be preferred. This method will be removed in version 4.0. getAlpha() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Get the azimuth of the vector. getAlpha() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vqbtkr3D |div class="block">Get the aziiuth od the vector, >dt>getAlpha()(- Mdthod in class org.axache*commgns>math3.geometry.spherical.oned.S1PoinT Get t�e azimuthcl angle $ \alpha $. �dt>getAfgle()<'a>,/span> - MethOd in �lass org.apaghe.commons.math3.geometry.euclidean.threed.Get the engle of the rotetion. >/dd> getAngle() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation Get the angle of the rotation. getAngle() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line Get the angle of the line. getAngles(RotationOrder) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation Deprecated. as of 3.6, replaced with FieldRotation.getAngles(RotationOrder, RotationConvention) getAngles(RotationOrder, RotationConvention) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation Get the Cardan or Euler angles corresponding to the instance. getAngles(RotationOrder) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation Deprecated. as of 3.6, replaced with Rotation.getAngles(RotationOrder, RotationConvention) getAngles(RotationOrder, RotationConvention) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation Get the Cardan or Euler angles corresponding to the instance. getArgument() - Method in class org.apache.commons.math3.complex.Complex Compute the argument of this complex number. getArgument() - Method in exception org.apache.commons.math3.exception.MathIllegalNumberException getArity() - Method in class org.apache.commons.math3.genetics.TournamentSelection Gets the arity (number of chromosomes drawn to the tournament). getArrayRef() - Method in class org.apache.commons.math3.util.ResizableDoubleArray Provides direct access to the internal storage array. getAttribute() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree Get the attribute associated with the instance. getAvailableLocales() - Static method in class org.apache.commons.math3.complex.ComplexFormat Get the set of locales for which complex formats are available. getAvailableLocales() - Static method in class org.apache.commons.math3.fraction.BigFractionFormat Get the set of locales for which complex formats are available. getAvailableLocales() - Static method in class org.apache.commons.math3.fraction.FractionFormat Get the set of locales for which complex formats are available. getAvailableLocales() - Static method in class org.apache.commons.math3.geometry.VectorFormat Get the set of locales for which point/vector formats are available. getAvailableLocales() - Static method in class org.apache.commons.math3.linear.RealMatrixFormat Get the set of locales for which real vectors formats are available. getAvailableLocales() - Static method in class org.apache.commons.math3.linear.RealVectorFormat Get the set of locales for which real vectors formats are available. getAxis() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation Deprecated. as of 3.6, replaced with FieldRotation.getAxis(RotationConvention) getAxis(RotationConvention) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation Get the normalized axis of the rotation. getAxis() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation Deprecated. as of 3.6, replaced with Rotation.getAxis(RotationConvention) getAxis(RotationConvention) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation Get the normalized axis of the rotation. getB() - Method in class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaFieldIntegrator Get the external weights for the high order method from Butcher array. getB() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldIntegrator Get the external weights for the high order method from Butcher array. getB() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator Get the external weights for the high order method from Butcher array. getB() - Method in class org.apache.commons.math3.ode.nonstiff.EulerFieldIntegrator Get the external weights for the high order method from Butcher array. getB() - Method in interface org.apache.commons.math3.ode.nonstiff.FieldButcherArrayProvider Get the external weights for the high order method from Butcher array. getB() - Method in class org.apache.commons.math3.ode.nonstiff.GillFieldIntegrator Get the external weights for the high order method from Butcher array. getB() - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54FieldIntegrator Get the external weights for the high order method from Butcher array. getB() - Method in class org.apache.commons.math3.ode.nonstiff.LutherFieldIntegrator Get the external weights for the high order method from Butcher array. getB() - Method in class org.apache.commons.math3.ode.nonstiff.MidpointFieldIntegrator Get the external weights for the high order method from Butcher array. getB() - Method in class org.apache.commons.math3.ode.nonstiff.ThreeEighthesFieldIntegrator Get the external weights for the high order method from Butcher array. getB(int, double) - Method in class org.apache.commons.math3.util.ContinuedFraction Access the n-th b coefficient of the continued fraction. getBarycenter() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval Get the barycenter of the interval. getBarycenter() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion Get the barycenter of the instance. getBarycenter() - Method in interface org.apache.commons.math3.geometry.partitioning.Region Get the barycenter of the instance. getBarycenter() - Method in class org.apache.commons.math3.geometry.spherical.oned.Arc Get the barycenter of the arc. getBeta() - Method in class org.apache.commons.math3.distribution.BetaDistribution Access the second shape parameter, beta. getBeta() - Method in class org.apache.commons.math3.distribution.GammaDistribution Deprecated. as of version 3.1, GammaDistribution.getScale() should be preferred. This method will be removed in version 4.0. getBinCount() - Method in class org.apache.commons.math3.random.EmpiricalDistribution Returns the number of bins. getBinStats() - Method in class org.apache.commons.math3.random.EmpiricalDistribution Returns a List of SummaryStatistics instances containing statistics describing the values in each of the bins. getBoundaryLoops() - Method in class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet Get the boundary loops of the polygon. getBoundarySize() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion Get the size of the boundary. getBoundarySize() - Method in interface org.apache.commons.math3.geometry.partitioning.Region Get the size of the boundary. getBoundIsAllowed() - Method in exception org.apache.commons.math3.exception.NumberIsTooLargeException getBoundIsAllowed() - Method in exception org.apache.commons.math3.exception.NumberIsTooSmallException getBracketingStep() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.BracketingStep Deprecated. Gets the initial step. getC() - Method in class org.apache.commons.math3.ode.nonstiff.ClassicalRungeKuttaFieldIntegrator Get the time steps from Butcher array (without the first zero). getC() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldIntegrator Get the time steps from Butcher array (without the first zero). getC() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator Get the time steps from Butcher array (without the first zero). getC() - Method in class org.apache.commons.math3.ode.nonstiff.EulerFieldIntegrator Get the time steps from Butcher array (without the first zero). getC() - Method in interface org.apache.commons.math3.ode.nonstiff.FieldButcherArrayProvider Get the time steps from Butcher array (without the first zero). getC() - Method in class org.apache.commons.math3.ode.nonstiff.GillFieldIntegrator Get the time steps from Butcher array (without the first zero). getC() - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54FieldIntegrator Get the time steps from Butcher array (without the first zero). getC() - Method in class org.apache.commons.math3.ode.nonstiff.LutherFieldIntegrator Get the time steps from Butcher array (without the first zero). getC() - Method in class org.apache.commons.math3.ode.nonstiff.MidpointFieldIntegrator Get the time steps from Butcher array (without the first zero). getC() - Method in class org.apache.commons.math3.ode.nonstiff.ThreeEighthesFieldIntegrator Get the time steps from Butcher array (without the first zero). getCapacity() - Method in class org.apache.commons.math3.util.ResizableDoubleArray Gets the currently allocated size of the internal data structure used for storing elements. getCartesian() - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates Get the Cartesian coordinates. getCell(Vector<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree Deprecated. as of 3.3, replaced with BSPTree.getCell(Point, double) getCell(Point<S>, double) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree Get the cell to which a point belongs. getCenter() - Method in class org.apache.commons.math3.geometry.enclosing.EnclosingBall Get the center of the ball. getCenter() - Method in class org.apache.commons.math3.ml.clustering.CentroidCluster Get the point chosen to be the center of this cluster. getCenter() - Method in class org.apache.commons.math3.stat.clustering.Cluster Deprecated. Get the point chosen to be the center of this cluster. getCenters() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm Returns a copy of the centers array. getCheck() - Method in class org.apache.commons.math3.linear.ConjugateGradient Returns true if positive-definiteness should be checked for both matrix and preconditioner. getCheck() - Method in class org.apache.commons.math3.linear.SymmLQ Returns true if symmetry of the matrix, and symmetry as well as positive definiteness of the preconditioner should be checked. getChiSquare() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbStr�ctLeastSquaresOptimizar Deprecated,,/span> Get a Chy=Square-like valwe assuMing the N rusiduals follow N distincD norma, d�stributions centeredon 0 ind whose variences ere the reciprocal of the weights. getChiSquare() - Method in class org.apache.commons.math3.o0timjzation.genural.AbstpactLeastSquazesOptimizer Deprecated. Get ! Chi-Sqeare-lIke value assuming vhe N resIdualw follow(N distinct nor-al distributions centered on 0 and0Ghose variances are !the recipzocal of the weights. 4a href="./org/apache/commons/math3/genetics.ListPopulation.html#getChromosomeList()">getGhromosomeList(+ - Lethod in class ore.apabht.commons.matH3.genetics.Accecs th% list of chromosomes. getChromosomes()% Method in class org.apache.commons.math3.genetics.ListPopulAtion 4div glass="blocc">Repurns an unmodifaable list �f the chromosomes in this populatioj. getCirale))Edge Get the circle supporting this edge. getClopperPearsonInterval(int, int, double) - Static method in class org.apache.commons.math3.stat.interval.IntervalUtils Create a Clopper-Pearson binomial confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level. Get the cells whosG cut sub-hyperplanes are closg to the point. MultiKMeansQlusPlusBlusterer Retusns phe embedded k-meaNs chusterer used by this instance. GetClusterEvaluator()|/a>MultiKMeansPlusPl5sC|usterer ,div0class5"block"Returns the ClusterEvaluatk� }sed to0determine the "best" clustering. - Method in class org.apach%.common�.Matj3.ml.clus|ering.FuzzyKMeansSlusterer<�e><�Dt> Returns"the!list of�c,usters resulting from the laRt0call to FuzzyKMeansClqsterer.clus4er(Collecdion) 4s`an Class="strong">getCoeffhcients() - Method8in class org.aPache.commons.math3.analysis.polynomials.Returns a copy of the coefgicients array. PolynomialFunctaonLagrangeFOrm8/dt> Returns a copy�o� the coefficients array. getCoeff)cients() m Meuhod in class org.cpabhE.commons.ma�h3.analysis.polynmaals.Poly�omialFunctionNewtonNorm Returns a copy of the �oefficients array. J geTCoefficients()<-span> - Methd if"class org.apac�e>commons.math#.analysis.solvers.Abstract@olynomialSolver <+dd> =span class="strong">getCoefficients()0- Method in slass org.apache.commons.math1.optim.linear.LinearConstraint Gets the coefficieNts of theconstrailt (left hand sIde). span class="strong">getcoefficients() - Me|�od in class org,apache.aommons.mith3.optim.linear.LinearObjectiveFunctikn <�iv class="b�ock">Gets the coefficielts of the lin�ar equation being opti-ized. <dd> g%tCoefficients() - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint Deprecated. Get the coefficients of the constraint (left hand side). getCoefficients() - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction Deprecated. Get the coefficients of the linear equation being optimized. getColumn(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Get the entries in column number col as an array. getColumn(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Get the entries at the given column index as an array. getColumn(int) - Method in class org.apache.commons.math3.linear.Blo�kFieldMatrix Cet the e.tries in �olumn number col>/code? is an array, getBnlumn�int- -`MetHod in class org.�pache.commons.math3.line�r.BlockRealMatrix Get the entries at0the givej columnindex as an array. getColumn(int) - Method in interface org.apache.commons.mcth3,lilear.FieldMctrix Get the entries in co|umn number #o�$as an arzay. geuColumn() - Methodin exceptimn org.apache.ckmmons.math�.linear.NonPositireDefiniteMauvixExcepti�n<.a>|/dt> - Method in exception org.apachm.commons.math3.linear.�onSymmetricMatripExCeption|/dt> &Nbsp; getColumn�int)<'a> - Method in interface org.apache.ckmmns.mAth3.linear. Get the entries at the given column index aS `n array. - Method�in class org.apache.bommons.matx3.ml.neuralnet.twd.util.a href=./org/axache/commons/math3/ml/neuralnet/twod/util/locationFind�r.Location.ltml" title"class in org.apache.commons.math3.ml.nguralnet.twod.util">LocationFinder.Locadion - Method �f c�acs erg.apac(ecommons.math3.linear.AbstractFieDdMatrix =div class="block">Peturn� the number of columls in the matri�. <'dd> getColumnDimension() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Returns the number of columns of this matrix. getColumnDimension() - Method in interface org.apache.commons.math3.linear.AnyMatrix Returns the number of columns in the matrix. getColumnDimension() - Method in class org.apache.commons.math3.linear.ArRay3DRowFieLdMalrix ReTurns thg number of columns in the matrix. 4span klacs="Strong">getColumnDimenshon()Arras2DRowRealMaTrix Returns the oumber of columns of this matrih. Block�heldMatrix8/dt> Returns the number of columns in the matrix. getColumnDimension() - MetHod i~ class!org.apache.commns.math3.linear/BlockRealMatrix geuCo,umnFimeosion(),/a> - Methkd in clasq org.apache.commons.maTh7�linear.DiagonalMatrix Returns the number of co�umns of tx)s matrix. |/dd> getC/lumnDimenwion() - ]ethod yn class org.axache.commons.math3.linear.JacobiPreconditioner Returns the dimension of the domain of this operator. getColumnDimension() - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix Returns the number of columns of this matrix. getColumnDimension() - Method in class org.apache.commons.math3.linear.RealLinearOperator Retuzns the dimension of the domain of this operator. >/spqn> -!Method in cliss org.apachm.commons.math3.lmneab.SparseNiel$Matrix Returns the number of0c/lum~s in the(matrix.<.div> 4a href="./org/apashe/com-ons/math�'lineab+ArstractFi%ldMatri|.html#ge4ColumnM!trix(int)&>eetColu�nMatrix(int) - Eethod in cl!ss orw.apachg.comions.math3.linear*AbstractFieldMatrix Get0the entries$in column number column as a columl oatpix. getColumnMatrix(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Get the entries at the given column index as a column matrix. getColumnMatrix(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Get the entries in column number column as a column matrix. getColumnMatrix(int) - Method in class org.apache.commons.math3.linear.BlockRaclMatrix Get the entr)es$at the given column inddx as a column mitrix. getCol5mnMatrix(int) - Method in iJterface rg.qpache.commons.mati3.hinaar.FieldMatrix Get the entri�s in colUm~ jumber column� es a column matrix.4/div> =dt> , Oethoe in intezface org.apache.commons.math3.linear.RmalMatrix Get the entries at the given column index as a column matrix. getColumnSeparator() - Method in class org.apache.commons.math3.linear.RealMatrixFormat Get the format separator between components. getColumnVector(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Returns the entries in column number column as a vector. getColumnVector(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Get the entries at the given column index as a vector. getColumnVector(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Returns the entries in column number column as a vector. getColumnVector(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Get the entries at the given column index as a vector. getColumnVector(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix Returns the entries in column number column as a vector. getColumnVector(int) - Method in interface org.apache.commons.math3.linear.RealMatrix Get the entries at the given column index as a vector. getCompiler(int, int) - Static method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Get the compiler for number of free parameters and order. getComplement(Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory Get the complement of the region (exchanged interior/exterior). getCompleteState() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE Get the complete current state. getComponents() - Method in class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution Gets the distributions that make up the mixture model. getComponents() - Method in Class org.aqache.commons.mcth3.geometry.partitioning.utili�ies.OrderedTuple JDeprecated*<+div> Get the cmmponents array. �getConditio~Number() - Method in class rg.apache.commons.math3.lingar�CingulArValueDeco-position Return the cmnlition number of the mctrIx, getConvidenceDevel() % Method in class org.apache.commons.math3.stat.interval.ConfidenceInterval getConjugate() - Method in class org.apache.commons.math3.complex.Quaternion Returns the conjugate quaternion of the instance. getConstantTerm() - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction Gets the constant of the lin%ar equation bemng optimized, span class="strong">getConstantTerm() - Method in class org.apache.commons.math3.opvi-azation.line!r. <$iv class="block">Deprecated. Get the constant on the linear equation `eing optimized. getConstraints() - Method in clas{ org.epache.Com�ons.�ath3*optim.linear.LinearConstraintSet<�a> 4dd> Gets the set of linear constraints. getConstraints() - Method in class org.apache.commons.math3.optim.linear.LinearOptimizer getConstraints() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer Deprecated. getContext() - Method in exception org.apache.commons.math3.exception.MathArithmeticException Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions. getContext() - Method in exception org.apache.commons.math3.exception.MathIllegalArgumentException Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions. getContext() - Method in exception org.apache.commons.math3.exception.MathIllegalStateException Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions. getContext() - Method in exception org.apache.commons.math3.exception.MathRuntimeException Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions. getContext() - Method in exception org.apache.commons.math3.exception.MathUnsupportedOperationException Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions. getContext() - Method in interface org.apache.commons.math3.exception.util.ExceptionContextProvider Gets a reference to the "rich context" data structure that allows to customize error messages and store key, value pairs in exceptions. getContractionCriteria() - Method in class org.apache.commons.math3.util.ResizableDoubleArray Deprecated. As of 3.1. Please use ResizableDoubleArray.getContractionCriterion() instead. getContractionCriterion() - Method in class org.apache.commons.math3.util.ResizableDoubleArray The contraction criterion defines when the internal array will contract to store only the number of elements in the element array. getControlMatrix() - Method in class org.apache.commons.math3.filter.DefaultProcessModel Returns the control matrix. getControlMatrix() - Method in interface org.apache.commons.math3.filter.ProcessModel Returns the control matrix. getConvergence() - Method in class org.apache.commons.math3.ode.events.EventState Get the convergence threshold for event localization. getConvergence() - Method in class org.apache.commons.math3.ode.events.FieldEventState Get the convergence threshold for event localization. getConvergenceChecker() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter Gets the convergence checker. getConvergenceChecker() - Method in class org.apache.commons.math3.optim.AbstractOptimizationProblem Gets the convergence checker. getConvergenceChecker() - Method in class org.apache.commons.math3.optim.BaseOptimizer Gets the convergence checker. getConvergenceChecker() - Method in interface org.apache.commons.math3.optim.OptimizationProblem Gets the convergence checker. getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer Deprecated. Get the convergence checker. getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer Deprecated. Get the convergence checker. getConvergenceChecker() - Method in interface org.apache.commons.math3.optimization.BaseOptimizer Deprecated. Get the convergence checker. getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer Deprecated. Get the convergence checker. getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer Deprecated. Get the convergence checker. getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer Deprecated. Get the convergence checker. getConvergenceChecker() - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer Deprecated. Get the convergence checker. getCorrelationMatrix() - Method in class org.apache.commons.math3.stat.correlation.KendallsCorrelation Returns the correlation matrix. getCorrelationMatrix() - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation Returns the correlation matrix. getCorrelationMatrix() - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation Calculate the Spearman Rank Correlation Matrix. getCorrelationPValues() - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation Returns a matrix of p-values associated with the (two-sided) null hypothesis that the corresponding correlation coefficient is zero. getCorrelationStandardErrors() - Method in class org.apache.commons.math3.stat.correlation.PearsonsCorrelation Returns a matrix of standard errors associated with the estimates in the correlation matrix. getCorrelationStandardErrors().getEntry(i,j) is the standard error associated with getCorrelationMatrix.getEntry(i,j) getCost() - Method in class org.apache.commons.math3.fitting.leastsquares.AbstractEvaluation Get the cost. getCost() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation Get the cost. getCostRelativeTolerance() - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer Gets the value of a tuning parameter. getCount(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency Returns the number of values equal to v. getCount(int) - Method in class org.apache.commons.math3.stat.Frequency Returns the number of values equal to v. getCount(long) - Method in class org.apache.commons.math3.stat.Frequency Returns the number of values equal to v. getCount(char) - Method in class org.apache.commons.math3.stat.Frequency Returns the number of values equal to v. getCount() - Method in class org.apache.commons.math3.util.Incrementor Deprecated. Gets the current count. getCount() - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor Gets the current count. getCount(int...) - Method in class org.apache.commons.math3.util.MultidimensionalCounter Convert to unidimensional counter. getCount() - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator Get the current unidimensional counter slot. getCount(int) - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator Get the current count in the selected dimension. getCounter() - Method in class org.apache.commons.math3.ode.AbstractIntegratov >ekv class<"blggk">Get0the evaluations counter. gdtCounts(int)�/a> - Method in class org.apache.commojs.mauh3.util.Multidimensaona,Counter dd> getCounps() - Method in class org/apache.commons.ma4j3.util.MultilimensionalCounter.Iterator Get the current"oultidio%nsional0counter rlots. 8/dd> =a href="*/org/epachE/kommons/math3/linear/SingularValueDecomposition.html#getCovariance(double)">getCovariance(doubla)�/span> - Mmthod in class mrg.apache.commons>math3.lin%ar.SingularValueDecomtosition JReturns the n × n covariance matrix. geuCnvariance(i~4, int - �ethod i� class rg.ap!che.commonw.math3.stat.correl�uion.StorelessCovariaoc� Gdt the covariafce for an individual elmment of the covariance matrix�/div> span clasS="strong">getCovariance()4/a>MultivariateSummaryStatistics Returns the covarian#e ma�rix of the �alues txat �ave been added.<'eiv> gEtCovariance(!StatisticalM�ltivariateSummary ReTurns the �ovariaoce of the `vailable values. �span class="strong">getCovariance() - Method mn class org.apacha.cgmM�ns.math3.stat.descriptive.SynchronizedMul�ivariateSummaryStatistics Returns the covarianCe matrix of the values that have been added. �tdt�getCovarianceMatrix() - Method io class org.apache.commonr.math3.stat.cozrelauion.C�variance�/a> Returns the cnvariance matrix�/div> getCovaricnceMaTrix() - method in class org.apache.commons.math3.stat.correlation.StorelessCovariance Returns the covariance matrix getCovarianceOfParameters(int, int) - Method in class org.apache.commons.math3.stat.regression.RegressionResults Returns the covariance between regression parameters i and j. getCovariances() - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution Gets the covariance matrix. getCovariances(double) - Method in class org.apache.commons.math3.fitting.leastsquares.AbstractEvaluation Get the covariance matrix of the optimized parameters. getCovariances(double) - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation Get the covariance matrix of the optimized parameters. getCovariances() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer Deprecated. As of 3.1. Please use AbstractLeastSquaresOptimizer.computeCovariances(double[],double) instead. getCovariances(double) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer Deprecated. As of 3.1. Please use AbstractLeastSquaresOptimizer.computeCovariances(double[],double) instead. getCrossoverPoints() - Method in class org.apache.commons.math3.genetics.NPointCrossover Returns vhe number of c2ossover points used by t�isCrosskverPolicy ,a href="./org/apache/commons/math3�genetics/GeneticAlgorit�m.html#getCros3o6erPolicy()#>gmtCrossoverQolicy() - Method in class org.a�acie.commoos.math3.genetics.GeleticAlworithm <$d> Returfs the srossovev policy.<div> getCrossovezRate() m Method in class org.apaahe.commons.mati3.ge~eticr.GeneticAlgorithm Returns the crossover rate. getCumFreq(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency Returns the cumulative frequency of values less than or equal to v. getCumFreq(int) - Method in class org.apache.commons.math3.stat.Frequency Returns the cumulative frequency of values less than or equal to v. Frequency Returns the ctmuletive frequency of values l�ss tha~ or equal to v. >/dd> getCumFreq(char) -�Method in class org.ap`c�e.commons*mavh3.stat.Frequmncy Returns the cumulative freauency of values less than or Equal to!v. geTCumPct(Comparqble$lt;7>) - MeThod in`class org.apache*comeonsnmath3.stap.,a hred="./org/apache/co}monc/math3/stat/Frequency.html" title="�lass in org.apakhe.commons.math3.stat">Frequency Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1). getCumPct(int) - Method in class org.apache.commons.math3.stat.Frequency Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1). getCumPct(long) - Method in class org.apache.commons.math3.stat.Frequency Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1). getCumPct(char) - Method in class org.apache.commons.math3.stat.Frequency Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1). getCurrentMainSetJacobian(double[][]) - Method in class org.apache.commons.math3.ode.JacobianMatrices Get the current value of the Jacobian matrix with respect to state. getCuzrentParemeterJacobian(Strinc, doub|e[]- m Method in claws org.a`ache*commons.math3.ode.JacobianMatrices Get the curren� value of the Jacobian matrix with respect to$one pavameter. .dt>getCurrentSifnmdStepsize()?/span. - Mgthod in class org.apeche.commons.math3.ode.AbstraCtFieLdInteorator ,dd> Get the current signed value of the integration stepsize. 8span class="strong">getCurrentS�gnadStepsize(),/a: - Methot in class org.apache.coemons.math3.ode.AbstractIntegrator Get the current qigned value of the �ntegration stepsize.�/dhv> 4dt>eetCurren4SignedSteqsize()`- Method in interface org.apache.commonw.madh3.ode. G%t the currenq sifn�d0value of Th� intugration stepsize. getCurrentSignedStepsije() - Method in intmrface org.ap`chd.com}ons.math3.ode.ODEIntegrator Get the c�rreot signed value of(tha integration stupsize. <�dd> gftCurrentSvate() - Method mn clars org.apache.coimons.math3.ode.sampling.AbstzaktFieldSuepIntgrpolador Gmt the �tate at current grid poilt tiee. getCurrentState() - Method in interface orfnapachd.commons.math3.odensampling.BieldS|%pMnterpolator|/a> Get the state at curre.t$grid!point time. - Method in class org.apache.commons.math3.ode.AbstractFieLdInte'rador i. getCurrentStepStart() - Method in class org.apache.cmmmns.math3.ode.AbstractIntagrator Get thg current value of the step star� time t_i. \/dd. 4dt>getCerrentSte0Start() - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator Get the current value of the step start time t_i. getCurrentStepStart() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator Get the current value of the step start time t_i. getCurrentStepStart() - Method in interface org.apache.commons.math3.ode.ODEIntegrator Get the current value of the step start time t_i. getCurrentTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator Get the current soft grid point time. getCurrentTime() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator Get the curre~t grid point time. BSPTvee Get the cut sub-hypezplane. getD()<'span> - Met�od in clasw org.Apache.commons.math3.linear.EigenDEcompsition<.a> Gets the block diagonal matr�x D of phe decomp/sit)on. getData() - ]ethod in class org.apacHe.commons.math3.linear.AbstractFieldMatrix Returns matrix entries as a two-dimensional array. getData() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Returns matrix entries as a two-dimensional array. getData() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix Returns matrix entries as a two-dimensional array. getData() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix Returns matrix entries as a two-dimensional array. getData() - Method in class org.apache.commons.math3.linear.ArrayFieldVector Returns vector entries as a T array. getData() - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Returns matrix entries as a two-dimensional array. getData() - Method in class org.apache.commons.math3.linear.BlockRealMatrix Returns matrix entries as a two-dimensional array. getData() - Method in class org.apache.commons.math3.linear.DiagonalMatrix Returns matrix entries as a two-dimensional array. getData() - Method in interface org.apache.commons.math3.linear.FieldMatrix Returns matrix entries as a two-dimensional array. getData() - Method in interface org.apache.commons.math3.linear.FieldVector Deprecated. as of 3.1, to be removed in 4.0. Please use the FieldVector.toArray() method instead. getData() - Method in interface org.apache.commons.math3.linear.RealMatrix Returns matrix entries as a two-dimensional array. getData() - Method in class org.apache.commons.math3.linear.SparseFieldVector Deprecated. as of 3.1, to be removed in 4.0. Please use the SparseFieldVector.toArray() method instead. getData() - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance Return the covariance matrix as two-dimensional array. getData() - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic Get a copy of the stored data array. getDataPoints() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer Returns an unmodifiable list of the data points used in the last call to FuzzyKMeansClusterer.cluster(Collection). getDataRef() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix Get a reference to the underlying data array. getDataRef() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix Get a reference to the underlying data array. getDataRef() - Method in class org.apache.commons.math3.linear.ArrayFieldVector Returns a reference to the underlying data array. getDataRef() - Method in class org.apache.commons.math3.linear.ArrayRealVector Get a reference to the underlying data array. getDataRef() - Method in class org.apache.commons.math3.linear.DiagonalMatrix Gets a reference to the underlying data array. getDataRef() - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic Get a reference to the stored data array. getDecimalDigits() - Method in class org.apache.commons.math3.dfp.DfpDec Get the number of decimal digits this class is going to represent. getDecomposition() - Method in class org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer Get the matrix decomposition algorithm used to solve the normal equations. getDefaultNumberFormat() - Static method in class org.apache.commons.math3.fraction.AbstractFormat Create a default number format. getDefaultNumberFormat(Locale) - Static method in class org.apache.commons.math3.fraction.AbstractFormat Create a default number format. getDefaultNumberFormat() - Static method in class org.apache.commons.math3.fraction.FractionFormat Create a default number format. getDefaultNumberFormat() - Static method in class org.apache.commons.math3.util.CompositeFormat Create a default number format. getDefaultNumberFormat(Locale) - Static method in class org.apache.commons.math3.util.CompositeFormat Create a default number format. getDegreesOfFreedom() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution Access the number of degrees of freedom. getDegreesOfFreedom() - Method in class org.apache.commons.math3.distribution.TDistribution Access the degrees of freedom. getDelta() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Get the elevation of the vector. getDelta() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Get the elevation of the vector. getDenominator() - Method in class org.apache.commons.math3.fraction.BigFraction Access the denominator as a BigInteger. getDenominator() - Method in class org.apache.commons.math3.fraction.Fraction Access the denominator. getDenominatorAsInt() - Method in class org.apache.commons.math3.fraction.BigFraction Access the denominator as a int. getDenominatorAsLong() - Method in class org.apache.commons.math3.fraction.BigFraction Access the denominator as a long. getDenominatorDegreesOfFreedom() - Method in class org.apache.commons.math3.distribution.FDistribution Access the denominator degrees of freedom. getDenominatorFormat() - Method in class org.apache.commons.math3.fraction.AbstractFormat Access the denominator format. getDerivative(int) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Get the derivative with respect to a particular index variable. getDerivative() - Method in class org.apache.commons.math3.ode.FieldODEStateAndDerivative Get derivative of the main state at time. getDeterminant() - Method in class org.apache.commons.math3.linear.CholeskyDecomposition Return the determinant of the matrix getDeterminant() - Method in class org.apache.commons.math3.linear.EigenDecomposition Computes the determinant of the matrix. getDeterminant() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition Return the determinant of the matrix. getDeterminant() - Method in class org.apache.commons.math3.linear.LUDecomposition Return the determinant of the matrix getDiagonalOfHatMatrix(double[]) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression Gets the diagonal of the Hat matrix also known as the leverage matrix. getDimension() - Method in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere Get the space dimensionality. getDimension() - Method in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution Gets the number of random variables of the distribution. getDimension() - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution Gets the number of random variables of the distribution. getDimension() - Method in exception org.apache.commons.math3.exception.DimensionMismatchException getDimension() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D Get the dimension of the space. getDimension() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D Get the dimension of the space. getDimension() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D Get the dimension of the space. getDimension() - Method in interface org.apache.commons.math3.geometry.Space Get the dimension of the space. getDimension() - Method in class org.apache.commons.math3.geometry.spherical.oned.Sphere1D Get the dimension of the space. getDimension() - Method in class org.apache.commons.math3.geometry.spherical.twod.Sphere2D Get the dimension of the space. getDimension() - Method in class org.apache.commons.math3.linear.ArrayFieldVector Returns the size of the vector. getDimension() - Method in class org.apache.commons.math3.linear.ArrayRealVector Returns the size of the vector. getDimension() - Method in interface org.apache.commons.math3.linear.FieldVector Returns the size of the vector. getDimension() - Method in class org.apache.commons.math3.linear.OpenMapRealVector Returns the size of the vector. getDimension() - Method in class org.apache.commons.math3.linear.RealVector Returns the size of the vector. getDimension() - Method in class org.apache.commons.math3.linear.SparseFieldVector Returns the size of the vector. getDimension() - Method in class org.apache.commons.math3.ode.EquationsMapper Get the dimension of the secondary state parameters. getDimension() - Method in interface org.apache.commons.math3.ode.FieldSecondaryEquations Get the dimension of the secondary state parameters. getDimension() - Method in class org.apache.commons.math3.ode.FirstOrderConverter Get the dimension of the problem. getDimension() - Method in interface org.apache.commons.math3.ode.FirstOrderDifferentialEquations Get the dimension of the problem. getDimension() - Method in interface org.apache.commons.math3.ode.FirstOrderFieldDifferentialEquations Get the dimension of the problem. getDimension() - Method in interface org.apache.commons.math3.ode.SecondaryEquations Get the dimension of the secondary state parameters. getDimension() - Method in interface org.apache.commons.math3.ode.SecondOrderDifferentialEquations Get the dimension of the problem. getDimension() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex Get simplex dimension. getDimension() - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex Deprecated. Get simplex dimension. getDimension() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics Returns the dimension of the data getDimension() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary Returns the dimension of the data getDimension() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics Returns the dimension of the data getDimension() - Method in class org.apache.commons.math3.util.MultidimensionalCounter Get the number of dimensions of the multidimensional counter. getDirection() - Method in exception org.apache.commons.math3.exception.NonMonotonicSequenceException getDirection() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line Get the normalized direction vector. getDistance(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector Distance between two vectors. getDistance(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector Optimized method to compute distance. getDistance(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector Distance between two vectors. getDistance(RealVector) - Method in class org.apache.commons.math3.linear.RealVector Distance between two vectors. getDistanceMeasure() - Method in class org.apache.commons.math3.ml.clustering.Clusterer Returns the DistanceMeasure instance used by this clusterer. getE() - Method in class org.apache.commons.math3.dfp.DfpField Get the constant e. getEigenvector(int) - Method in class org.apache.commons.math3.linear.EigenDecomposition Gets a copy of the i^th eigenvector of the original matrix. getElement() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node Deprecated. Get the contained element. getElement(int) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Returns the element at the specified index getElement(int) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics Returns the element at the specified index getElement(int) - Method in interface org.apache.commons.math3.util.DoubleArray Returns the element at the specified index. getElement(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray Returns the element at the specified index getElements() - Method in interface org.apache.commons.math3.util.DoubleArray Returns a double[] array containing the elements of this DoubleArray. getElements() - Method in class org.apache.commons.math3.util.ResizableDoubleArray Returns a double array containing the elements of this ResizableArray. getElitismRate() - Method in class org.apache.commons.math3.genetics.ElitisticListPopulation Access the elitism rate. getEmpiricalDistribution() - Method in class org.apache.commons.math3.random.ValueServer Returns the EmpiricalDistribution used when operating in 0. getEmptyClusterStrategy() - Method in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer Returns the KMeansPlusPlusClusterer.EmptyClusterStrategy used by this instance. getEnclosingCap() - Method in class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet Get a spherical cap enclosing the polygon. getEnd() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Segment Get the end point of the segment. getEnd() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Segment Get the end point of the segment. getEnd() - Method in class org.apache.commons.math3.geometry.spherical.twod.Edge Get end vertex. getEntry(int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Returns the entry in the specified row and column. getEntry(int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Get the entry in the specified row and column. getEntry(int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix Returns the entry in the specified row and column. getEntry(int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix Get the entry in the specified row and column. getEntry(int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Returns the entry in the specified index. getEntry(int) - Method in class org.apache.commons.math3.linear.ArrayRealVector Return the entry at the specified index. getEntry(int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Returns the entry in the specified row and column. getEntry(int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Get the entry in the specified row and column. getEntry(int, int) - Method in class org.apache.commons.math3.linear.DiagonalMatrix Get the entry in the specified row and column. getEntry(int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix Returns the entry in the specified row and column. getEntry(int) - Method in interface org.apache.commons.math3.linear.FieldVector Returns the entry in the specified index. getEntry(int, int) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix Get the entry in the specified row and column. getEntry(int) - Method in class org.apache.commons.math3.linear.OpenMapRealVector Return the entry at the specified index. getEntry(int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix Get the entry in the specified row and column. getEntry(int) - Method in class org.apache.commons.math3.linear.RealVector Return the entry at the specified index. getEntry(int, int) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix Returns the entry in the specified row and column. getEntry(int) - Method in class org.apache.commons.math3.linear.SparseFieldVector Returns the entry in the specified index. getEps() - Method in class org.apache.commons.math3.ml.clustering.DBSCANClusterer Returns the maximum radius of the neighborhood to be considered. getEps() - Method in class org.apache.commons.math3.stat.clustering.DBSCANClusterer Deprecated. Returns the maximum radius of the neighborhood to be considered. getEpsilon() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer Returns the convergence criteria used by this instance. getEquations() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator Get the differential equations to integrate. getErrorCovariance() - Method in class org.apache.commons.math3.filter.KalmanFilter Returns the current error covariance matrix. getErrorCovarianceMatrix() - Method in class org.apache.commons.math3.filter.KalmanFilter Returns a copy of the current error covariance matrix. getErrorSumSquares() - Method in class org.apache.commons.math3.stat.regression.RegressionResults Returns the sum of squared errors (SSE) associated with the regression model. getESplit() - Method in class org.apache.commons.math3.dfp.DfpField Get the constant e split in two pieces. getEstimationType() - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile Get the estimation type used for computation. getEvaluationCounter() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter Get a independent Incrementor that counts up to the maximum number of evaluations and then throws an exception. getEvaluationCounter() - Method in class org.apache.commons.math3.optim.AbstractOptimizationProblem Get a independent Incrementor that counts up to the maximum number of evaluations and then throws an exception. getEvaluationCounter() - Method in interface org.apache.commons.math3.optim.OptimizationProblem Get a independent Incrementor that counts up to the maximum number of evaluations and then throws an exception. getEvaluations() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator Get the number of function evaluations of the last run of the integrator. getEvaluations() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator Get the number of function evaluations of the last run of the integrator. getEvaluations() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver Get the number of evaluations of the objective function. getEvaluations() - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver Get the number of evaluations of the objective function. getEvaluations() - Method in interface org.apache.commons.math3.analysis.solvers.BracketedRealFieldUnivariateSolver Get the number of evaluations of the objective function. getEvaluations() - Method in class org.apache.commons.math3.analysis.solvers.FieldBracketingNthOrderBrentSolver Get the number of evaluations of the objective function. getEvaluations() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresOptimizer.Optimum Get the number of times the model was evaluated in order to produce this optimum. getEvaluations() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator Get the number of evaluations of the differential equations function. getEvaluations() - Method in class org.apache.commons.math3.ode.AbstractIntegrator Get the number of evaluations of the differential equations function. getEvaluations() - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator Get the number of evaluations of the differential equations function. getEvaluations() - Method in interface org.apache.commons.math3.ode.ODEIntegrator Get the number of evaluations of the differential equations function. getEvaluations() - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer Gets the number of evaluations of the objective function. getEvaluations() - Method in class org.apache.commons.math3.optim.BaseOptimizer Gets the number of evaluations of the objective function. getEvaluations() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder getEvaluations() - Method in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer Gets the number of evaluations of the objective function. getEvaluations() - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer Deprecated. Get the number of evaluations of the objective function. getEvaluations() - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer Deprecated. Get the number of evaluations of the objective function. getEvaluations() - Method in interface org.apache.commons.math3.optimization.BaseOptimizer Deprecated. Get the number of evaluations of the objective function. getEvaluations() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer Deprecated. Get the number of evaluations of the objective function. getEvaluations() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer Deprecated. Get the number of evaluations of the objective function. getEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer Deprecated. Get the number of evaluations of the objective function. getEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder Deprecated. getEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer Deprecated. Get the number of evaluations of the objective function. getEvaluationsCounter() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator Get the evaluations counter. getEvaluationsCounter() - Method in class org.apache.commons.math3.ode.AbstractIntegrator Deprecated. as of 3.6 replaced with AbstractIntegrator.getCounter() getEventHandler() - Method in class org.apache.commons.math3.ode.events.EventState Get the underlying event handler. getEventHandler() - Method in class org.apache.commons.math3.ode.events.FieldEventState Get the underlying event handler. getEventHandlers() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator Get all the event handlers that have been added to the integrator. getEventHandlers() - Method in class org.apache.commons.math3.ode.AbstractIntegrator Get all the event handlers that have been added to the integrator. getEventHandlers() - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator Get all the event handlers that have been added to the integrator. getEventHandlers() - Method in interface org.apache.commons.math3.ode.ODEIntegrator Get all the event handlers that have been added to the integrator. getEventTime() - Method in class org.apache.commons.math3.ode.events.EventState Get the occurrence time of the event triggered in the current step. getEventTime() - Method in class org.apache.commons.math3.ode.events.FieldEventState Get the occurrence time of the event triggered in the current step. getExpandable() - Method in class org.apache.commons.math3.ode.AbstractIntegrator Get the differential equations to integrate. getExpansionFactor() - Method in class org.apache.commons.math3.util.ResizableDoubleArray Deprecated. As of 3.1. Return type will be changed to "double" in 4.0. getExpansionMode() - Method in class org.apache.commons.math3.util.ResizableDoubleArray Deprecated. As of 3.1. Return value to be changed to ResizableDoubleArray.ExpansionMode in 4.0. getExpectedColumnDimension() - Method in exception org.apache.commons.math3.linear.MatrixDimensionMismatchException getExpectedDimension(int) - Method in exception org.apache.commons.math3.exception.MultiDimensionMismatchException getExpectedDimensions() - Method in exception org.apache.commons.math3.exception.MultiDimensionMismatchException getExpectedRowDimension() - Method in exception org.apache.commons.math3.linear.MatrixDimensionMismatchException getExponent() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Return the exponent of the instance value, removing the bias. getExponent() - Method in class org.apache.commons.math3.distribution.ZipfDistribution Get the exponent characterizing the distribution. getExponent(double) - Static method in class org.apache.commons.math3.util.FastMath Return the exponent of a double number, removing the bias. getExponent(float) - Static method in class org.apache.commons.math3.util.FastMath Return the exponent of a float number, removing the bias. getFeatures() - Method in class org.apache.commons.math3.ml.neuralnet.Neuron Gets the neuron's features. getFeatures(int) - Method in class org.apache.commons.math3.ml.neuralnet.oned.NeuronString Retrieves the features set from the neuron at location i in the map. getFeaturesSize() - Method in class org.apache.commons.math3.ml.neuralnet.Network Gets the size of the neurons' features set. getFHi() - Method in exception org.apache.commons.math3.exception.NoBracketingException Get the value at the higher end of the interval. getFHi() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder Get function value at BracketFinder.getHi(). getFHi() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder Deprecated. Get function value at BracketFinder.getHi(). getField() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Get the Field to which the instance belongs. getField() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Get the Field to which the instance belongs. getField() - Method in class org.apache.commons.math3.complex.Complex Get the Field to which the instance belongs. getField() - Method in class org.apache.commons.math3.dfp.Dfp Get the Field (really a DfpField) to which the instance belongs. getField() - Method in interface org.apache.commons.math3.FieldElement Get the Field to which the instance belongs. getField() - Method in class org.apache.commons.math3.fraction.BigFraction Get the Field to which the instance belongs. getField() - Method in class org.apache.commons.math3.fraction.Fraction Get the Field to which the instance belongs. getField() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Get the type of field elements of the matrix. getField() - Method in class org.apache.commons.math3.linear.ArrayFieldVector Get the type of field elements of the vector. getField() - Method in interface org.apache.commons.math3.linear.FieldMatrix Get the type of field elements of the matrix. getField() - Method in interface org.apache.commons.math3.linear.FieldVector Get the type of field elements of the vector. getField() - Method in class org.apache.commons.math3.linear.SparseFieldVector Get the type of field elements of the vector. getField() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator Get the field to which state vector elements belong. getField() - Method in class org.apache.commons.math3.util.BigReal Get the Field to which the instance belongs. getField() - Method in class org.apache.commons.math3.util.Decimal64 Get the Field to which the instance belongs. getFinalTime() - Method in class org.apache.commons.math3.ode.ContinuousOutputFieldModel Get the final integration time. getFinalTime() - Method in class org.apache.commons.math3.ode.ContinuousOutputModel Get the final integration time. getFirst() - Method in class org.apache.commons.math3.genetics.ChromosomePair Access the first chromosome. getFirst() - Method in class org.apache.commons.math3.util.Pair Get the first element of the pair. getFirstIndex() - Method in class org.apache.commons.math3.ode.EquationsMapper Get the index of the first equation element in complete state arrays. getFitness() - Method in class org.apache.commons.math3.genetics.Chromosome Access the fitness of this chromosome. getFittedModel() - Method in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization Gets the fitted model. getFittestChromosome() - Method in class org.apache.commons.math3.genetics.ListPopulation Access the fittest chromosome in this population. getFittestChromosome() - Method in interface org.apache.commons.math3.genetics.Population Access the fittest chromosome in this population. getFLo() - Method in exception org.apache.commons.math3.exception.NoBracketingException Get the value at the lower end of the interval. getFLo() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder Get function value at BracketFinder.getLo(). getFLo() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder Deprecated. Get function value at BracketFinder.getLo(). getFMid() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder Get function value at BracketFinder.getMid(). getFMid() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder Deprecated. Get function value at BracketFinder.getMid(). getFormat() - Method in class org.apache.commons.math3.geometry.VectorFormat Get the components format. getFormat() - Method in class org.apache.commons.math3.linear.RealMatrixFormat Get the components format. getFormat() - Method in class org.apache.commons.math3.linear.RealVectorFormat Get the components format. getFreeParameters() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Get the number of free parameters. getFreeParameters() - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Get the number of free parameters. getFrobeniusNorm() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Returns the Frobenius norm of the matrix. getFrobeniusNorm() - Method in class org.apache.commons.math3.linear.BlockRealMatrix Returns the Frobenius norm of the matrix. getFrobeniusNorm() - Method in interface org.apache.commons.math3.linear.RealMatrix Returns the Frobenius norm of the matrix. getFunction() - Method in class org.apache.commons.math3.optim.linear.LinearOptimizer getFunction() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer Deprecated. getFunctionValueAccuracy() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver Get the function value accuracy of the solver. getFunctionValueAccuracy() - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver Get the function value accuracy of the solver. getFunctionValueAccuracy() - Method in interface org.apache.commons.math3.analysis.solvers.BracketedRealFieldUnivariateSolver Get the function value accuracy of the solver. getFunctionValueAccuracy() - Method in class org.apache.commons.math3.analysis.solvers.FieldBracketingNthOrderBrentSolver Get the function accuracy. getFunctionValueAccuracy() - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP Deprecated. Get the function accuracy. getFuzziness() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer Returns the fuzziness factor used by this instance. getGenerationsEvolved() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm Returns the number of generations evolved to reach StoppingCondition in the last run. getGenerator() - Method in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator Get the underlying normalized components generator. getGeneratorUpperBounds() - Method in class org.apache.commons.math3.random.EmpiricalDistribution Returns a fresh copy of the array of upper bounds of the subintervals of [0,1] used in generating data from the empirical distribution. getGeoMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics Returns the currently configured geometric mean implementation getGeoMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Returns the currently configured geometric mean implementation getGeoMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics Returns the currently configured geometric mean implementation getGeoMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Returns the currently configured geometric mean implementation getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics Returns the geometric mean of all the aggregated data. getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Returns the geometric mean of the available values. getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics Returns an array whose i^th entry is the geometric mean of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[]) getGeometricMean() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary Returns an array whose i^th entry is the geometric mean of the i^th entries of the arrays that correspond to each multivariate sample getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Returns the geometric mean of the values that have been added. getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics Returns an array whose i^th entry is the geometric mean of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[]) getGeometricMean() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Returns the geometric mean of the values that have been added. getGeometricMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Returns the currently configured geometric mean implementation. getGlobalCurrentState() - Method in class org.apache.commons.math3.ode.sampling.AbstractFieldStepInterpolator Get the current global grid point state. getGlobalCurrentTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator Get the current global grid point time. getGlobalPreviousState() - Method in class org.apache.commons.math3.ode.sampling.AbstractFieldStepInterpolator Get the previous global grid point state. getGlobalPreviousTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator Get the previous global grid point time. getGoalType() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer getGoalType() - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer getGoalType() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer Deprecated. getGoalType() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer Deprecated. getGoalType() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer Deprecated. getH() - Method in class org.apache.commons.math3.linear.QRDecomposition Returns the Householder reflector vectors. getHi() - Method in exception org.apache.commons.math3.exception.NoBracketingException Get the higher end of the interval. getHi() - Method in exception org.apache.commons.math3.exception.OutOfRangeException getHi() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder getHi() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder Deprecated. getHyperplane() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane Get the underlying hyperplane. getHyperplane() - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane Get the underlying hyperplane. getIdentifier() - Method in class org.apache.commons.math3.ml.neuralnet.Neuron Gets the neuron's identifier. getIEEEFlags() - Method in class org.apache.commons.math3.dfp.DfpField Get the IEEE 854 status flags. getImagEigenvalue(int) - Method in class org.apache.commons.math3.linear.EigenDecomposition Gets the imaginary part of the i^th eigenvalue of the original matrix. getImagEigenvalues() - Method in class org.apache.commons.math3.linear.EigenDecomposition Gets a copy of the imaginary parts of the eigenvalues of the original matrix. getImaginary() - Method in class org.apache.commons.math3.complex.Complex Access the imaginary part. getImaginary(int) - Method in class org.apache.commons.math3.complex.RootsOfUnity Get the imaginary part of the k-th n-th root of unity. getImaginaryCharacter() - Method in class org.apache.commons.math3.complex.ComplexFormat Access the imaginaryCharacter. getImaginaryFormat() - Method in class org.apache.commons.math3.complex.ComplexFormat Access the imaginaryFormat. getImproperInstance() - Static method in class org.apache.commons.math3.fraction.BigFractionFormat Returns the default complex format for the current locale. getImproperInstance(Locale) - Static method in class org.apache.commons.math3.fraction.BigFractionFormat Returns the default complex format for the given locale. getImproperInstance() - Static method in class org.apache.commons.math3.fraction.FractionFormat Returns the default complex format for the current locale. getImproperInstance(Locale) - Static method in class org.apache.commons.math3.fraction.FractionFormat Returns the default complex format for the given locale. getIncoming() - Method in class org.apache.commons.math3.geometry.spherical.twod.Vertex Get incoming edge. getIndex() - Method in exception org.apache.commons.math3.exception.NonMonotonicSequenceException Get the index of the wrong value. getIndex() - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapEntry Get the index of the entry. getIndex() - Method in class org.apache.commons.math3.linear.RealVector.Entry Get the index of the entry. getInf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval Get the lower bound of the interval. getInf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet Get the lowest value belonging to the instance. getInf() - Method in class org.apache.commons.math3.geometry.spherical.oned.Arc Get the lower angular bound of the arc. getInitialErrorCovariance() - Method in class org.apache.commons.math3.filter.DefaultProcessModel Returns the initial error covariance matrix. getInitialErrorCovariance() - Method in interface org.apache.commons.math3.filter.ProcessModel Returns the initial error covariance matrix. getInitialGuess() - Method in class org.apache.commons.math3.optim.InitialGuess Gets the initial guess. getInitialGuess() - Method in class org.apache.commons.math3.optimization.InitialGuess Deprecated. Gets the initial guess. getInitialStateEstimate() - Method in class org.apache.commons.math3.filter.DefaultProcessModel Returns the initial state estimation vector. getInitialStateEstimate() - Method in interface org.apache.commons.math3.filter.ProcessModel Returns the initial state estimation vector. getInitialStepBoundFactor() - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer Gets the value of a tuning parameter. getInitialTime() - Method in class org.apache.commons.math3.ode.ContinuousOutputFieldModel Get the initial integration time. getInitialTime() - Method in class org.apache.commons.math3.ode.ContinuousOutputModel Get the initial integration time. getInsideArc(Circle) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle Get the arc of the instance that lies inside the other circle. getInstance() - Static method in class org.apache.commons.math3.complex.ComplexField Get the unique instance. getInstance() - Static method in class org.apache.commons.math3.complex.ComplexFormat Returns the default complex format for the current locale. getInstance(Locale) - Static method in class org.apache.commons.math3.complex.ComplexFormat Returns the default complex format for the given locale. getInstance(String, Locale) - Static method in class org.apache.commons.math3.complex.ComplexFormat Returns the default complex format for the given locale. getInstance() - Static method in class org.apache.commons.math3.fraction.BigFractionField Get the unique instance. getInstance() - Static method in class org.apache.commons.math3.fraction.FractionField Get the unique instance. getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D Get the unique instance. getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat Returns the default 1D vector format for the current locale. getInstance(Locale) - Static method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat Returns the default 1D vector format for the given locale. getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D Get the unique instance. getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat Returns the default 3D vector format for the current locale. getInstance(Locale) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat Returns the default 3D vector format for the given locale. getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D Get the unique instance. getInstance() - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat Returns the default 2D vector format for the current locale. getInstance(Locale) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat Returns the default 2D vector format for the given locale. getInstance() - Static method in class org.apache.commons.math3.geometry.spherical.oned.Sphere1D Get the unique instance. getInstance() - Static method in class org.apache.commons.math3.geometry.spherical.twod.Sphere2D Get the unique instance. getInstance() - Static method in class org.apache.commons.math3.linear.RealMatrixFormat Returns the default real vector format for the current locale. getInstance(Locale) - Static method in class org.apache.commons.math3.linear.RealMatrixFormat Returns the default real vector format for the given locale. getInstance() - Static method in class org.apache.commons.math3.linear.RealVectorFormat Returns the default real vector format for the current locale. getInstance(Locale) - Static method in class org.apache.commons.math3.linear.RealVectorFormat Returns the default real vector format for the given locale. getInstance(Field<T>, int) - Static method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckFieldTransformer Get the Nordsieck transformer for a given field and number of steps. getInstance(int) - Static method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer Get the Nordsieck transformer for a given number of steps. getInstance() - Static method in class org.apache.commons.math3.ode.sampling.DummyStepHandler Get the only instance. getInstance() - Static method in class org.apache.commons.math3.util.BigRealField Get the unique instance. getInstance() - Static method in class org.apache.commons.math3.util.Decimal64Field Returns the unique instance of this class. getIntercept() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression Returns the intercept of the estimated regression line, if SimpleRegression.hasIntercept() is true; otherwise 0. getInterceptStdErr() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression Returns the standard error of the intercept estimate, usually denoted s(b0). getInternalValues() - Method in class org.apache.commons.math3.util.ResizableDoubleArray Deprecated. As of 3.1. getInterpolatedDerivatives() - Method in class org.apache.commons.math3.ode.ContinuousOutputModel Get the derivatives of the state vector of the interpolated point. getInterpolatedDerivatives() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator Get the derivatives of the state vector of the interpolated point. getInterpolatedDerivatives() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator Get the derivatives of the state vector of the interpolated point. getInterpolatedSecondaryDerivatives(int) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel Get the interpolated secondary derivatives corresponding to the secondary equations. getInterpolatedSecondaryDerivatives(int) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator Get the interpolated secondary derivatives corresponding to the secondary equations. getInterpolatedSecondaryDerivatives(int) - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator Get the interpolated secondary derivatives corresponding to the secondary equations. getInterpolatedSecondaryState(int) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel Get the interpolated secondary state corresponding to the secondary equations. getInterpolatedSecondaryState(int) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator Get the interpolated secondary state corresponding to the secondary equations. getInterpolatedSecondaryState(int) - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator Get the interpolated secondary state corresponding to the secondary equations. getInterpolatedState(T) - Method in class org.apache.commons.math3.ode.ContinuousOutputFieldModel Get the state at interpolated time. getInterpolatedState() - Method in class org.apache.commons.math3.ode.ContinuousOutputModel Get the state vector of the interpolated point. getInterpolatedState(T) - Method in class org.apache.commons.math3.ode.sampling.AbstractFieldStepInterpolator Get the state at interpolated time. getInterpolatedState() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator Get the state vector of the interpolated point. getInterpolatedState(T) - Method in interface org.apache.commons.math3.ode.sampling.FieldStepInterpolator Get the state at interpolated time. getInterpolatedState() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator Get the state vector of the interpolated point. getInterpolatedStateVariation() - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator Get the state vector variation from current to interpolated state. getInterpolatedTime() - Method in class org.apache.commons.math3.ode.ContinuousOutputModel Get the time of the interpolated point. getInterpolatedTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator Get the time of the interpolated point. getInterpolatedTime() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator Get the time of the interpolated point. getInterpolatingPoints() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm Returns a copy of the interpolating points array. getInterpolatingValues() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm Returns a copy of the interpolating values array. getInverse() - Method in class org.apache.commons.math3.complex.Quaternion Returns the inverse of this instance. getInverse() - Method in interface org.apache.commons.math3.linear.DecompositionSolver Get the pseudo-inverse of the decomposed matrix. getInverse() - Method in interface org.apache.commons.math3.linear.FieldDecompositionSolver Get the inverse (or pseudo-inverse) of the decomposed matrix. getInverseConditionNumber() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition Computes the inverse of the condition number. getIterationCounter() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter Get a independent Incrementor that counts up to the maximum number of iterations and then throws an exception. getIterationCounter() - Method in class org.apache.commons.math3.optim.AbstractOptimizationProblem Get a independent Incrementor that counts up to the maximum number of iterations and then throws an exception. getIterationCounter() - Method in interface org.apache.commons.math3.optim.OptimizationProblem Get a independent Incrementor that counts up to the maximum number of iterations and then throws an exception. getIterationManager() - Method in class org.apache.commons.math3.linear.IterativeLinearSolver Returns the iteration manager attached to this solver. getIterations() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator Get the number of iterations of the last run of the integrator. getIterations() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator Get the number of iterations of the last run of the integrator. getIterations() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresOptimizer.Optimum Get the number of times the algorithm iterated in order to produce this optimum. getIterations() - Method in class org.apache.commons.math3.optim.BaseOptimizer Gets the number of iterations performed by the algorithm. getIterations() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer Deprecated. Get the number of iterations realized by the algorithm. getIterations() - Method in interface org.apache.commons.math3.optimization.linear.LinearOptimizer Deprecated. Get the number of iterations realized by the algorithm. getIterations() - Method in class org.apache.commons.math3.util.IterationEvent Returns the number of iterations performed at the time this event is created. getIterations() - Method in class org.apache.commons.math3.util.IterationManager Returns the number of iterations of this solver, 0 if no iterations has been performed yet. getJacobian() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation Get the weighted Jacobian matrix. getJacobianEvaluations() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer Deprecated. getK() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer Return the number of clusters this instance will use. getK() - Method in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer Return the number of clusters this instance will use. getK() - Method in class org.apache.commons.math3.util.Combinations Gets the number of elements in each combination. getKernel(SummaryStatistics) - Method in class org.apache.commons.math3.random.EmpiricalDistribution The within-bin smoothing kernel. getKey() - Method in class org.apache.commons.math3.util.Pair Get the key. getKeys() - Method in class org.apache.commons.math3.exception.util.ExceptionContext Gets all the keys stored in the exception getKnots() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction Get an array copy of the knot points. getKthSelector() - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile Get the kthSelector used for computation. getKurtosis() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Returns the Kurtosis of the available values. getKurtosisImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Returns the currently configured kurtosis implementation. getL() - Method in class org.apache.commons.math3.linear.CholeskyDecomposition Returns the matrix L of the decomposition. getL() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition Returns the matrix L of the decomposition. getL() - Method in class org.apache.commons.math3.linear.LUDecomposition Returns the matrix L of the decomposition. getL1Distance(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector Distance between two vectors. getL1Distance(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector Distance between two vectors. getL1Distance(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector Distance between two vectors. getL1Distance(RealVector) - Method in class org.apache.commons.math3.linear.RealVector Distance between two vectors. getL1Norm() - Method in class org.apache.commons.math3.linear.ArrayRealVector Returns the L₁ norm of the vector. getL1Norm() - Method in class org.apache.commons.math3.linear.RealVector Returns the L₁ norm of the vector. getLargest() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree Deprecated. Get the node whose element is the largest one in the tree. getLength() - Method in class org.apache.commons.math3.genetics.AbstractListChromosome Returns the length of the chromosome. getLength() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval Deprecated. as of 3.1, replaced by Interval.getSize() getLength() - Method in class org.apache.commons.math3.geometry.spherical.twod.Edge Get the length of the arc. getLine() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Segment Get the line containing the segment. getLine() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Segment Get the line containing the segment. getLineSegments() - Method in class org.apache.commons.math3.geometry.euclidean.twod.hull.ConvexHull2D Get the line segments of the convex hull, ordered. getLInfDistance(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector Distance between two vectors. getLInfDistance(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector Distance between two vectors. getLInfDistance(RealVector) - Method in class org.apache.commons.math3.linear.RealVector Distance between two vectors. getLInfNorm() - Method in class org.apache.commons.math3.linear.ArrayRealVector Returns the L_∞ norm of the vector. getLInfNorm() - Method in class org.apache.commons.math3.linear.RealVector Returns the L_∞ norm of the vector. getLn10() - Method in class org.apache.commons.math3.dfp.DfpField Get the constant ln(10). getLn2() - Method in class org.apache.commons.math3.dfp.DfpField Get the constant ln(2). getLn2Split() - Method in class org.apache.commons.math3.dfp.DfpField Get the constant ln(2) split in two pieces. getLn5() - Method in class org.apache.commons.math3.dfp.DfpField Get the constant ln(5). getLn5Split() - Method in class org.apache.commons.math3.dfp.DfpField Get the constant ln(5) split in two pieces. getLo() - Method in exception org.apache.commons.math3.exception.NoBracketingException Get the lower end of the interval. getLo() - Method in exception org.apache.commons.math3.exception.OutOfRangeException getLo() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder getLo() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder Deprecated. getLocalizedMessage() - Method in exception org.apache.commons.math3.exception.MathArithmeticException getLocalizedMessage() - Method in exception org.apache.commons.math3.exception.MathIllegalArgumentException getLocalizedMessage() - Method in exception org.apache.commons.math3.exception.MathIllegalStateException getLocalizedMessage() - Method in exception org.apache.commons.math3.exception.MathRuntimeException getLocalizedMessage() - Method in exception org.apache.commons.math3.exception.MathUnsupportedOperationException getLocalizedMessage() - Method in class org.apache.commons.math3.exception.util.ExceptionContext Gets the message in the default locale. getLocalizedString(Locale) - Method in class org.apache.commons.math3.exception.util.DummyLocalizable Gets the localized string. getLocalizedString(Locale) - Method in interface org.apache.commons.math3.exception.util.Localizable Gets the localized string. getLocalizedString(Locale) - Method in enum org.apache.commons.math3.exception.util.LocalizedFormats Gets the localized string. getLocation() - Method in class org.apache.commons.math3.distribution.GumbelDistribution Access the location parameter, mu. getLocation() - Method in class org.apache.commons.math3.distribution.LaplaceDistribution Access the location parameter, mu. getLocation() - Method in class org.apache.commons.math3.distribution.LevyDistribution Get the location parameter of the distribution. getLocation() - Method in class org.apache.commons.math3.distribution.LogisticDistribution Access the location parameter, mu. getLocation() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint Get the hyperplane location on the real line. getLocation() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle Get the hyperplane location on the circle. getLocation() - Method in class org.apache.commons.math3.geometry.spherical.twod.Vertex Get Vertex location. getLocation(Neuron) - Method in class org.apache.commons.math3.ml.neuralnet.twod.util.LocationFinder Retrieves a neuron's grid coordinates. getLogLikelihood() - Method in class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization Gets the log likelihood of the data under the fitted model. getLower() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval Deprecated. as of 3.1, replaced by Interval.getInf() getLower() - Method in class org.apache.commons.math3.optim.SimpleBounds Gets the lower bounds. getLower() - Method in class org.apache.commons.math3.optimization.SimpleBounds Deprecated. Gets the lower bounds. getLowerBound() - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer getLowerBound() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer Deprecated. getLowerBound() - Method in class org.apache.commons.math3.stat.interval.ConfidenceInterval getLT() - Method in class org.apache.commons.math3.linear.CholeskyDecomposition Returns the transpose of the matrix L of the decomposition. getMapper() - Method in class org.apache.commons.math3.ode.FieldExpandableODE Get the mapper for the set of equations. getMatrix() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation Get the 3X3 matrix corresponding to the instance getMatrix() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation Get the 3X3 matrix corresponding to the instance getMax() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator getMax() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver getMax() - Method in exception org.apache.commons.math3.exception.MaxCountExceededException getMax() - Method in exception org.apache.commons.math3.exception.NumberIsTooLargeException getMax() - Method in class org.apache.commons.math3.optim.univariate.SearchInterval Gets the upper bound. getMax() - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer getMax() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer Deprecated. getMax() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics Returns the maximum of the available values getMax() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Returns the maximum of the available values getMax() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics Returns an array whose i^th entry is the maximum of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[]) getMax() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary Returns an array whose i^th entry is the maximum of the i^th entries of the arrays that correspond to each multivariate sample getMax() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary Returns the maximum of the available values getMax() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues getMax() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Returns the maximum of the values that have been added. getMax() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics Returns an array whose i^th entry is the maximum of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[]) getMax() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Returns the maximum of the values that have been added. getMaxCheckInterval() - Method in class org.apache.commons.math3.ode.events.EventState Get the maximal time interval between events handler checks. getMaxCheckInterval() - Method in class org.apache.commons.math3.ode.events.FieldEventState Get the maximal time interval between events handler checks. getMaxEval() - Method in class org.apache.commons.math3.optim.MaxEval Gets the maximum number of evaluations. getMaxEvaluations() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver Get the maximum number of function evaluations. getMaxEvaluations() - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver Get the maximum number of function evaluations. getMaxEvaluations() - Method in interface org.apache.commons.math3.analysis.solvers.BracketedRealFieldUnivariateSolver Get the maximum number of function evaluations. getMaxEvaluations() - Method in class org.apache.commons.math3.analysis.solvers.FieldBracketingNthOrderBrentSolver Get the maximal number of function evaluations. getMaxEvaluations() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator Get the maximal number of functions evaluations. getMaxEvaluations() - Method in class org.apache.commons.math3.ode.AbstractIntegrator Get the maximal number of functions evaluations. getMaxEvaluations() - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator Get the maximal number of functions evaluations. getMaxEvaluations() - Method in interface org.apache.commons.math3.ode.ODEIntegrator Get the maximal number of functions evaluations. getMaxEvaluations() - Method in class org.apache.commons.math3.optim.BaseOptimizer Gets the maximal number of function evaluations. getMaxEvaluations() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer Deprecated. Get the maximal number of function evaluations. getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer Deprecated. Get the maximal number of function evaluations. getMaxEvaluations() - Method in interface org.apache.commons.math3.optimization.BaseOptimizer Deprecated. Get the maximal number of function evaluations. getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer Deprecated. Get the maximal number of function evaluations. getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer Deprecated. Get the maximal number of function evaluations. getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer Deprecated. Get the maximal number of function evaluations. getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder Deprecated. getMaxEvaluations() - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer Deprecated. Get the maximal number of function evaluations. getMaxGrowth() - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator Get the maximal growth factor for stepsize control. getMaxGrowth() - Method in class org.apache.commons.math3.ode.MultistepIntegrator Get the maximal growth factor for stepsize control. getMaxGrowth() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator Get the maximal growth factor for stepsize control. getMaxGrowth() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator Get the maximal growth factor for stepsize control. getMaximalCount() - Method in class org.apache.commons.math3.util.Incrementor Deprecated. Gets the upper limit of the counter. getMaximalCount() - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor Gets the upper limit of the counter. getMaximalIterationCount() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator Get the upper limit for the number of iterations. getMaximalIterationCount() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator Get the upper limit for the number of iterations. getMaximalOrder() - Method in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver Get the maximal order. getMaximalOrder() - Method in class org.apache.commons.math3.analysis.solvers.FieldBracketingNthOrderBrentSolver Get the maximal order. getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Returns the currently configured maximum implementation. getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics Returns the currently configured maximum implementation getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Returns the currently configured maximum implementation getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics Returns the currently configured maximum implementation getMaxImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Returns the currently configured maximum implementation getMaxIndex() - Method in class org.apache.commons.math3.linear.RealVector Get the index of the maximum entry. getMaxIter() - Method in class org.apache.commons.math3.optim.MaxIter Gets the maximum number of evaluations. getMaxIterationCount() - Method in class org.apache.commons.math3.ode.events.EventState Get the upper limit in the iteration count for event localization. getMaxIterationCount() - Method in class org.apache.commons.math3.ode.events.FieldEventState Get the upper limit in the iteration count for event localization. getMaxIterations() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer Returns the maximum number of iterations this instance will use. getMaxIterations() - Method in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer Returns the maximum number of iterations this instance will use. getMaxIterations() - Method in class org.apache.commons.math3.optim.BaseOptimizer Gets the maximal number of iterations. getMaxIterations() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer Deprecated. Get the maximal number of iterations of the algorithm. getMaxIterations() - Method in interface org.apache.commons.math3.optimization.linear.LinearOptimizer Deprecated. Get the maximal number of iterations of the algorithm. getMaxIterations() - Method in class org.apache.commons.math3.util.IterationManager Returns the maximum number of iterations. getMaxStep() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator Get the maximal step. getMaxStep() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator Get the maximal step. getMaxValue() - Method in class org.apache.commons.math3.linear.RealVector Get the value of the maximum entry. getMean() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution Access the mean. getMean() - Method in class org.apache.commons.math3.distribution.NormalDistribution Access the mean. getMean() - Method in class org.apache.commons.math3.distribution.PoissonDistribution Get the mean for the distribution. getMean() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics Returns the arithmetic mean of the available values getMean() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Returns the arithmetic mean of the available values getMean() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics Returns an array whose i^th entry is the mean of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[]) getMean() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary Returns an array whose i^th entry is the mean of the i^th entries of the arrays that correspond to each multivariate sample getMean() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary Returns the arithmetic mean of the available values getMean() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues getMean() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Returns the mean of the values that have been added. getMean() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics Returns an array whose i^th entry is the mean of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[]) getMean() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Returns the mean of the values that have been added. getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Returns the currently configured mean implementation. getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics Returns the currently configured mean implementation getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Returns the currently configured mean implementation getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics Returns the currently configured mean implementation getMeanImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Returns the currently configured mean implementation getMeans() - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution Gets the mean vector. getMeanSquareError() - Method in class org.apache.commons.math3.stat.regression.RegressionResults Returns the sum of squared errors divided by the degrees of freedom, usually abbreviated MSE. getMeanSquareError() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression Returns the sum of squared errors divided by the degrees of freedom, usually abbreviated MSE. getMeasurementDimension() - Method in class org.apache.commons.math3.filter.KalmanFilter Returns the dimension of the measurement vector. getMeasurementMatrix() - Method in class org.apache.commons.math3.filter.DefaultMeasurementModel Returns the measurement matrix. getMeasurementMatrix() - Method in interface org.apache.commons.math3.filter.MeasurementModel Returns the measurement matrix. getMeasurementNoise() - Method in class org.apache.commons.math3.filter.DefaultMeasurementModel Returns the measurement noise matrix. getMeasurementNoise() - Method in interface org.apache.commons.math3.filter.MeasurementModel Returns the measurement noise matrix. getMedian() - Method in class org.apache.commons.math3.distribution.CauchyDistribution Access the median. getMembershipMatrix() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer Returns the nxk membership matrix, where n is the number of data points and k the number of clusters. getMessage() - Method in exception org.apache.commons.math3.exception.MathArithmeticException getMessage() - Method in exception org.apache.commons.math3.exception.MathIllegalArgumentException getMessage() - Method in exception org.apache.commons.math3.exception.MathIllegalStateException getMessage() - Method in exception org.apache.commons.math3.exception.MathRuntimeException getMessage() - Method in exception org.apache.commons.math3.exception.MathUnsupportedOperationException getMessage() - Method in class org.apache.commons.math3.exception.util.ExceptionContext Gets the default message. getMessage(Locale) - Method in class org.apache.commons.math3.exception.util.ExceptionContext Gets the message in a specified locale. getMessage(Locale, String) - Method in class org.apache.commons.math3.exception.util.ExceptionContext Gets the message in a specified locale. getMid() - Method in class org.apache.commons.math3.optim.univariate.BracketFinder getMid() - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder Deprecated. getMidPoint() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval Deprecated. as of 3.1, replaced by Interval.getBarycenter() getMin() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator getMin() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver getMin() - Method in exception org.apache.commons.math3.exception.NumberIsTooSmallException getMin() - Method in class org.apache.commons.math3.optim.univariate.SearchInterval Gets the lower bound. getMin() - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer getMin() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer Deprecated. getMin() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics Returns the minimum of the available values getMin() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Returns the minimum of the available values getMin() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics Returns an array whose i^th entry is the minimum of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[]) getMin() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary Returns an array whose i^th entry is the minimum of the i^th entries of the arrays that correspond to each multivariate sample getMin() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary Returns the minimum of the available values getMin() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues getMin() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Returns the minimum of the values that have been added. getMin() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics Returns an array whose i^th entry is the minimum of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[]) getMin() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Returns the minimum of the values that have been added. getMinimalIterationCount() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator Get the min limit for the number of iterations. getMinimalIterationCount() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator Get the min limit for the number of iterations. getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Returns the currently configured minimum implementation. getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics Returns the currently configured minimum implementation getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Returns the currently configured minimum implementation getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics Returns the currently configured minimum implementation getMinImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Returns the currently configured minimum implementation getMinIndex() - Method in class org.apache.commons.math3.linear.RealVector Get the index of the minimum entry. getMinPts() - Method in class org.apache.commons.math3.ml.clustering.DBSCANClusterer Returns the minimum number of points needed for a cluster. getMinPts() - Method in class org.apache.commons.math3.stat.clustering.DBSCANClusterer Deprecated. Returns the minimum number of points needed for a cluster. getMinReduction() - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator Get the minimal reduction factor for stepsize control. getMinReduction() - Method in class org.apache.commons.math3.ode.MultistepIntegrator Get the minimal reduction factor for stepsize control. getMinReduction() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator Get the minimal reduction factor for stepsize control. getMinReduction() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator Get the minimal reduction factor for stepsize control. getMinStep() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator Get the minimal step. getMinStep() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator Get the minimal step. getMinus() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree Get the tree on the minus side of the cut hyperplane. getMinus() - Method in class org.apache.commons.math3.geometry.partitioning.SubHyperplane.SplitSubHyperplane Get the part of the sub-hyperplane on the minus side of the splitting hyperplane. getMinus() - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet.Split Get the part of the arcs set on the minus side of the splitting arc. getMinValue() - Method in class org.apache.commons.math3.linear.RealVector Get the value of the minimum entry. getMode() - Method in class org.apache.commons.math3.distribution.TriangularDistribution Returns the mode c of this distribution. getMode() - Method in class org.apache.commons.math3.random.ValueServer Returns the data generation mode. getMode() - Method in class org.apache.commons.math3.stat.Frequency Returns the mode value(s) in comparator order. getModelFunction() - Method in class org.apache.commons.math3.fitting.AbstractCurveFitter.TheoreticalValuesFunction getModelFunction() - Method in class org.apache.commons.math3.optim.nonlinear.vector.ModelFunction Deprecated. Gets the model function to be optimized. getModelFunctionJacobian() - Method in class org.apache.commons.math3.fitting.AbstractCurveFitter.TheoreticalValuesFunction getModelFunctionJacobian() - Method in class org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian Deprecated. Gets the Jacobian of the model function to be optimized. getMu() - Method in class org.apache.commons.math3.random.ValueServer Returns the mean used when operating in ValueServer.GAUSSIAN_MODE, ValueServer.EXPONENTIAL_MODE or ValueServer.UNIFORM_MODE. getMutationPolicy() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm Returns the mutation policy. getMutationRate() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm Returns the mutation rate. getN() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction Get the number of spline segments. getN() - Method in class org.apache.commons.math3.stat.correlation.Covariance Returns the number of observations (length of covariate vectors) getN() - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance This Covariance method is not supported by a StorelessCovariance, since the number of bivariate observations does not have to be the same for different pairs of covariates - i.e., N as defined in Covariance.getN() is undefined. getN() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics Returns the number of available values getN() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Returns the number of available values getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean Returns the number of values that have been added. getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis Returns the number of values that have been added. getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean Returns the number of values that have been added. getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness Returns the number of values that have been added. getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation Returns the number of values that have been added. getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance Returns the number of values that have been added. getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance Get the number of vectors in the sample. getN() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean Get the number of vectors in the sample. getN() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics Returns the number of available values getN() - Method in class org.apache.commons.math3.stat.descriptive.rank.Max Returns the number of values that have been added. getN() - Method in class org.apache.commons.math3.stat.descriptive.rank.Min Returns the number of values that have been added. getN() - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile Returns the number of values that have been added. getN() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary Returns the number of available values getN() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary Returns the number of available values getN() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues getN() - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic Returns the number of values that have been added. getN() - Method in class org.apache.commons.math3.stat.descriptive.summary.Product Returns the number of values that have been added. getN() - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum Returns the number of values that have been added. getN() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs Returns the number of values that have been added. getN() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares Returns the number of values that have been added. getN() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Returns the number of available values getN() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics Returns the number of available values getN() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics Returns the number of available values getN() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Returns the number of available values getN() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression Gets the number of observations added to the regression model. getN() - Method in class org.apache.commons.math3.stat.regression.RegressionResults Returns the number of observations added to the regression model. getN() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression Returns the number of observations that have been added to the model. getN() - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression Returns the number of observations added to the regression model. getN() - Method in class org.apache.commons.math3.util.Combinations Gets the size of the set from which combinations are drawn. getName() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator Get the name of the method. getName() - Method in class org.apache.commons.math3.ode.AbstractIntegrator Get the name of the method. getName() - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator Get the name of the method. getName() - Method in interface org.apache.commons.math3.ode.ODEIntegrator Get the name of the method. getName() - Method in exception org.apache.commons.math3.ode.UnknownParameterException getNaNStrategy() - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile Get the NaN Handling strategy used for computation. getNanStrategy() - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking Return the NaNStrategy getNbPoints() - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator Get the number of points to use. getNeighbours(Iterable<Neuron>) - Method in class org.apache.commons.math3.ml.neuralnet.Network Retrieves the neurons in the neighbourhood of any neuron in the neurons list. getNeighbours(Iterable<Neuron>, Iterable<Neuron>) - Method in class org.apache.commons.math3.ml.neuralnet.Network Retrieves the neurons in the neighbourhood of any neuron in the neurons list. getNeighbours(Neuron) - Method in class org.apache.commons.math3.ml.neuralnet.Network Retrieves the neighbours of the given neuron. getNeighbours(Neuron, Iterable<Neuron>) - Method in class org.apache.commons.math3.ml.neuralnet.Network Retrieves the neighbours of the given neuron. getNetwork() - Method in class org.apache.commons.math3.ml.neuralnet.oned.NeuronString Retrieves the underlying network. getNetwork() - Method in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D Retrieves the underlying network. getNeuron(long) - Method in class org.apache.commons.math3.ml.neuralnet.Network Retrieves the neuron with the given (unique) id. getNeuron(int, int) - Method in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D Retrieves the neuron at location (i, j) in the map. getNeuron(int, int, NeuronSquareMesh2D.HorizontalDirection, NeuronSquareMesh2D.VerticalDirection) - Method in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D Retrieves the neuron at (location[0], location[1]) in the map. getNeurons(Comparator<Neuron>) - Method in class org.apache.commons.math3.ml.neuralnet.Network Creates a list of the neurons, sorted in a custom order. getNewtonCoefficients() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm Returns a copy of coefficients in Newton form formula. getNext() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node Deprecated. Get the node containing the next larger or equal element. getNext() - Method in class org.apache.commons.math3.random.ValueServer Returns the next generated value, generated according to the mode value (see MODE constants). getNextIndex() - Method in class org.apache.commons.math3.random.HaltonSequenceGenerator Returns the index i of the next point in the Halton sequence that will be returned by calling HaltonSequenceGenerator.nextVector(). getNextIndex() - Method in class org.apache.commons.math3.random.SobolSequenceGenerator Returns the index i of the next point in the Sobol sequence that will be returned by calling SobolSequenceGenerator.nextVector(). getNextValue() - Method in class org.apache.commons.math3.random.EmpiricalDistribution Generates a random value from this distribution. getNorm() - Method in class org.apache.commons.math3.complex.Quaternion Computes the norm of the quaternion. getNorm() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D Get the L₂ norm for the vector. getNorm() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Get the L₂ norm for the vector. getNorm() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Get the L₂ norm for the vector. getNorm() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Get the L₂ norm for the vector. getNorm() - Method in interface org.apache.commons.math3.geometry.Vector Get the L₂ norm for the vector. getNorm() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Returns the maximum absolute row sum norm of the matrix. getNorm() - Method in class org.apache.commons.math3.linear.ArrayRealVector Returns the L₂ norm of the vector. getNorm() - Method in class org.apache.commons.math3.linear.BlockRealMatrix Returns the maximum absolute row sum norm of the matrix. getNorm() - Method in interface org.apache.commons.math3.linear.RealMatrix Returns the maximum absolute row sum norm of the matrix. getNorm() - Method in class org.apache.commons.math3.linear.RealVector Returns the L₂ norm of the vector. getNorm() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition Returns the L₂ norm of the matrix. getNorm1() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D Get the L₁ norm for the vector. getNorm1() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Get the L₁ norm for the vector. getNorm1() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Get the L₁ norm for the vector. getNorm1() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Get the L₁ norm for the vector. getNorm1() - Method in interface org.apache.commons.math3.geometry.Vector Get the L₁ norm for the vector. getNormal() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane Get the normalized normal vector. getNormalApproximationInterval(int, int, double) - Static method in class org.apache.commons.math3.stat.interval.IntervalUtils Create a binomial confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level using the Normal approximation to the binomial distribution. getNormInf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D Get the L_∞ norm for the vector. getNormInf() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Get the L_∞ norm for the vector. getNormInf() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Get the L_∞ norm for the vector. getNormInf() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Get the L_∞ norm for the vector. getNormInf() - Method in interface org.apache.commons.math3.geometry.Vector Get the L_∞ norm for the vector. getNormOfResidual() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent Returns the norm of the residual. getNormOfResidual() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent Returns the norm of the residual. getNormSq() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D Get the square of the norm for the vector. getNormSq() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Get the square of the norm for the vector. getNormSq() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Get the square of the norm for the vector. getNormSq() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Get the square of the norm for the vector. getNormSq() - Method in interface org.apache.commons.math3.geometry.Vector Get the square of the norm for the vector. getNotLarger(T) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree Deprecated. Get the node whose element is not larger than the reference object. getNotSmaller(T) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree Deprecated. Get the node whose element is not smaller than the reference object. getNSteps() - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator Get the number of steps of the multistep method (excluding the one being computed). getNSteps() - Method in class org.apache.commons.math3.ode.MultistepIntegrator Get the number of steps of the multistep method (excluding the one being computed). getNSteps() - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer Deprecated. as of 3.6, this method is not used anymore getNumberOfAttemptedUpdates() - Method in class org.apache.commons.math3.ml.neuralnet.Neuron Retrieves the number of calls to the compareAndSetFeatures method. getNumberOfCalls() - Method in class org.apache.commons.math3.ml.neuralnet.sofm.KohonenUpdateAction Retrieves the number of calls to the update method. getNumberOfColumns() - Method in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D Gets the number of neurons in each column of this map. getNumberOfElements() - Method in class org.apache.commons.math3.distribution.ZipfDistribution Get the number of elements (e.g. getNumberOfEquations() - Method in class org.apache.commons.math3.ode.FieldEquationsMapper Get the number of equations mapped. getNumberOfParameters() - Method in class org.apache.commons.math3.stat.regression.RegressionResults Returns the number of parameters estimated in the model. getNumberOfPoints() - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator getNumberOfRoots() - Method in class org.apache.commons.math3.complex.RootsOfUnity Returns the number of roots of unity currently stored. getNumberOfRows() - Method in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D Gets the number of neurons in each row of this map. getNumberOfSecondaryStates() - Method in class org.apache.commons.math3.ode.FieldODEState Get the number of secondary states. getNumberOfSuccesses() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution Access the number of successes. getNumberOfSuccesses() - Method in class org.apache.commons.math3.distribution.PascalDistribution Access the number of successes for this distribution. getNumberOfSuccessfulUpdates() - Method in class org.apache.commons.math3.ml.neuralnet.Neuron Retrieves the number of successful calls to the compareAndSetFeatures method. getNumberOfTrials() - Method in class org.apache.commons.math3.distribution.BinomialDistribution Access the number of trials for this distribution. getNumElements() - Method in interface org.apache.commons.math3.util.DoubleArray Returns the number of elements currently in the array. getNumElements() - Method in class org.apache.commons.math3.util.ResizableDoubleArray Returns the number of elements currently in the array. getNumerator() - Method in class org.apache.commons.math3.fraction.BigFraction Access the numerator as a BigInteger. getNumerator() - Method in class org.apache.commons.math3.fraction.Fraction Access the numerator. getNumeratorAsInt() - Method in class org.apache.commons.math3.fraction.BigFraction Access the numerator as a int. getNumeratorAsLong() - Method in class org.apache.commons.math3.fraction.BigFraction Access the numerator as a long. getNumeratorDegreesOfFreedom() - Method in class org.apache.commons.math3.distribution.FDistribution Access the numerator degrees of freedom. getNumeratorFormat() - Method in class org.apache.commons.math3.fraction.AbstractFormat Access the numerator format. getNumericalMean() - Method in class org.apache.commons.math3.distribution.BetaDistribution Use this method to get the numerical value of the mean of this distribution. getNumericalMean() - Method in class org.apache.commons.math3.distribution.BinomialDistribution Use this method to get the numerical value of the mean of this distribution. getNumericalMean() - Method in class org.apache.commons.math3.distribution.CauchyDistribution Use this method to get the numerical value of the mean of this distribution. getNumericalMean() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution Use this method to get the numerical value of the mean of this distribution. getNumericalMean() - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution Use this method to get the numerical value of the mean of this distribution. getNumericalMean() - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution Use this method to get the numerical value of the mean of this distribution. getNumericalMean() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution Use this method to get the numerical value of the mean of this distribution. getNumericalMean() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution Use this method to get the numerical value of the mean of this distribution. getNumericalMean() - Method in class org.apache.commons.math3.distribution.FDistribution Use this method to get the numerical value of the mean of this distribution. getNumericalMean() - Method in class org.apache.commons.math3.distribution.GammaDistribution Use this method to get the numerical value of the mean of this distribution. getNumericalMean() - Method in class org.apache.commons.math3.distribution.GeometricDistribution Use this method to get the numerical value of the mean of this distribution. getNumericalMean() - Method in class org.apache.commons.math3.distribution.GumbelDistribution Use this method to get the numerical value of the mean of this distribution. getNumericalMean() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution Use this method to get the numerical value of the mean of this distribution. getNumericalMean() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution Use this method to get the numerical value of the mean of this distribution. getNumericalMean() - Method in class org.apache.commons.math3.distribution.LaplaceDistribution Use this method to get the numerical value of the mean of this distribution. getNumericalMean() - Method in class org.apache.commons.math3.distribution.LevyDistribution Use this method to get the numerical value of the mean of this distribution. getNumericalMean() - Method in class org.apache.commons.math3.distribution.LogisticDistribution Use this method to get the numerical value of the mean of this distribution. getNumericalMean() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution Use this method to get the numerical value of the mean of this distribution. getNumericalMean() - Method in class org.apache.commons.math3.distribution.NakagamiDistribution Use this method to get the numerical value of the mean of this distribution. getNumericalMean() - Method in class org.apache.commons.math3.distribution.NormalDistribution Use this method to get the numerical value of the mean of this distribution. getNumericalMean() - Method in class org.apache.commons.math3.distribution.ParetoDistribution Use this method to get the numerical value of the mean of this distribution. getNumericalMean() - Method in class org.apache.commons.math3.distribution.PascalDistribution Use this method to get the numerical value of the mean of this distribution. getNumericalMean() - Method in class org.apache.commons.math3.distribution.PoissonDistribution Use this method to get the numerical value of the mean of this distribution. getNumericalMean() - Method in interface org.apache.commons.math3.distribution.RealDistribution Use this method to get the numerical value of the mean of this distribution. getNumericalMean() - Method in class org.apache.commons.math3.distribution.TDistribution Use this method to get the numerical value of the mean of this distribution. getNumericalMean() - Method in class org.apache.commons.math3.distribution.TriangularDistribution Use this method to get the numerical value of the mean of this distribution. getNumericalMean() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution Use this method to get the numerical value of the mean of this distribution. getNumericalMean() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution Use this method to get the numerical value of the mean of this distribution. getNumericalMean() - Method in class org.apache.commons.math3.distribution.WeibullDistribution Use this method to get the numerical value of the mean of this distribution. getNumericalMean() - Method in class org.apache.commons.math3.distribution.ZipfDistribution Use this method to get the numerical value of the mean of this distribution. getNumericalMean() - Method in class org.apache.commons.math3.random.EmpiricalDistribution Use this method to get the numerical value of the mean of this distribution. getNumericalVariance() - Method in class org.apache.commons.math3.distribution.BetaDistribution Use this method to get the numerical value of the variance of this distribution. getNumericalVariance() - Method in class org.apache.commons.math3.distribution.BinomialDistribution Use this method to get the numerical value of the variance of this distribution. getNumericalVariance() - Method in class org.apache.commons.math3.distribution.CauchyDistribution Use this method to get the numerical value of the variance of this distribution. getNumericalVariance() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution Use this method to get the numerical value of the variance of this distribution. getNumericalVariance() - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution Use this method to get the numerical value of the variance of this distribution. getNumericalVariance() - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution Use this method to get the numerical value of the variance of this distribution. getNumericalVariance() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution Use this method to get the numerical value of the variance of this distribution. getNumericalVariance() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution Use this method to get the numerical value of the variance of this distribution. getNumericalVariance() - Method in class org.apache.commons.math3.distribution.FDistribution Use this method to get the numerical value of the variance of this distribution. getNumericalVariance() - Method in class org.apache.commons.math3.distribution.GammaDistribution Use this method to get the numerical value of the variance of this distribution. getNumericalVariance() - Method in class org.apache.commons.math3.distribution.GeometricDistribution Use this method to get the numerical value of the variance of this distribution. getNumericalVariance() - Method in class org.apache.commons.math3.distribution.GumbelDistribution Use this method to get the numerical value of the variance of this distribution. getNumericalVariance() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution Use this method to get the numerical value of the variance of this distribution. getNumericalVariance() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution Use this method to get the numerical value of the variance of this distribution. getNumericalVariance() - Method in class org.apache.commons.math3.distribution.LaplaceDistribution Use this method to get the numerical value of the variance of this distribution. getNumericalVariance() - Method in class org.apache.commons.math3.distribution.LevyDistribution Use this method to get the numerical value of the variance of this distribution. getNumericalVariance() - Method in class org.apache.commons.math3.distribution.LogisticDistribution Use this method to get the numerical value of the variance of this distribution. getNumericalVariance() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution Use this method to get the numerical value of the variance of this distribution. getNumericalVariance() - Method in class org.apache.commons.math3.distribution.NakagamiDistribution Use this method to get the numerical value of the variance of this distribution. getNumericalVariance() - Method in class org.apache.commons.math3.distribution.NormalDistribution Use this method to get the numerical value of the variance of this distribution. getNumericalVariance() - Method in class org.apache.commons.math3.distribution.ParetoDistribution Use this method to get the numerical value of the variance of this distribution. getNumericalVariance() - Method in class org.apache.commons.math3.distribution.PascalDistribution Use this method to get the numerical value of the variance of this distribution. getNumericalVariance() - Method in class org.apache.commons.math3.distribution.PoissonDistribution Use this method to get the numerical value of the variance of this distribution. getNumericalVariance() - Method in interface org.apache.commons.math3.distribution.RealDistribution Use this method to get the numerical value of the variance of this distribution. getNumericalVariance() - Method in class org.apache.commons.math3.distribution.TDistribution Use this method to get the numerical value of the variance of this distribution. getNumericalVariance() - Method in class org.apache.commons.math3.distribution.TriangularDistribution Use this method to get the numerical value of the variance of this distribution. getNumericalVariance() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution Use this method to get the numerical value of the variance of this distribution. getNumericalVariance() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution Use this method to get the numerical value of the variance of this distribution. getNumericalVariance() - Method in class org.apache.commons.math3.distribution.WeibullDistribution Use this method to get the numerical value of the variance of this distribution. getNumericalVariance() - Method in class org.apache.commons.math3.distribution.ZipfDistribution Use this method to get the numerical value of the variance of this distribution. getNumericalVariance() - Method in class org.apache.commons.math3.random.EmpiricalDistribution Use this method to get the numerical value of the variance of this distribution. getNumGenerations() - Method in class org.apache.commons.math3.genetics.FixedGenerationCount Returns the number of generations that have already passed. getNumTrials() - Method in class org.apache.commons.math3.ml.clustering.MultiKMeansPlusPlusClusterer Returns the number of trials this instance will do. getnVals() - Method in class org.apache.commons.math3.special.BesselJ.BesselJResult getObjectiveFunction() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunction Gets the function to be optimized. getObjectiveFunction() - Method in class org.apache.commons.math3.optim.univariate.UnivariateObjectiveFunction Gets the function to be optimized. getObjectiveFunction() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer Deprecated. Gets the objective vector function. getObjectiveFunctionGradient() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunctionGradient Gets the gradient of the function to be optimized. getObjectiveFunctionValue() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer Get the value of the objective function. getObservations() - Method in class org.apache.commons.math3.fitting.CurveFitter Deprecated. Get the observed points. getObservations() - Method in class org.apache.commons.math3.optimization.fitting.CurveFitter Deprecated. Get the observed points. getObservationSize() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter Get the number of observations (rows in the Jacobian) in this problem. getObservationSize() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem Get the number of observations (rows in the Jacobian) in this problem. getOffset(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint Get the offset (oriented distance) of a vector. getOffset(Point<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint Get the offset (oriented distance) of a point. getOffset(Plane) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane Get the offset (oriented distance) of a parallel plane. getOffset(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane Get the offset (oriented distance) of a vector. getOffset(Point<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane Get the offset (oriented distance) of a point. getOffset(Line) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line Get the offset (oriented distance) of a parallel line. getOffset(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line Get the offset (oriented distance) of a vector. getOffset(Point<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line Get the offset (oriented distance) of a point. getOffset() - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryProjection Offset of the point with respect to the boundary it is projected on. getOffset(Point<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane Get the offset (oriented distance) of a point. getOffset(Point<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle Get the offset (oriented distance) of a point. getOffset(Point<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle Get the offset (oriented distance) of a point. getOffset(Vector3D) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle Get the offset (oriented distance) of a direction. getOmegaInverse() - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression Get the inverse of the covariance. getOne() - Method in class org.apache.commons.math3.complex.ComplexField Get the multiplicative identity of the field. getOne() - Method in class org.apache.commons.math3.dfp.Dfp Get the constant 1. getOne() - Method in class org.apache.commons.math3.dfp.DfpField Get the constant 1. getOne() - Method in interface org.apache.commons.math3.Field Get the multiplicative identity of the field. getOne() - Method in class org.apache.commons.math3.fraction.BigFractionField Get the multiplicative identity of the field. getOne() - Method in class org.apache.commons.math3.fraction.FractionField Get the multiplicative identity of the field. getOne() - Method in class org.apache.commons.math3.util.BigRealField Get the multiplicative identity of the field. getOne() - Method in class org.apache.commons.math3.util.Decimal64Field Get the multiplicative identity of the field. getOptima() - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer Gets all the optima found during the last call to optimize. getOptima() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer Gets all the optima found during the last call to optimize. getOptima() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer Deprecated. Gets all the optima found during the last call to optimize. getOptima() - Method in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer Gets all the optima found during the last call to optimize. getOptima() - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer Deprecated. Get all the optima found during the last call to optimize. getOptima() - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer Deprecated. Get all the optima found during the last call to optimize. getOptima() - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer Deprecated. Get all the optima found during the last call to optimize. getOptimizer() - Method in class org.apache.commons.math3.fitting.AbstractCurveFitter Creates an optimizer set up to fit the appropriate curve. getOrder() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Get the derivation order. getOrder() - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Get the derivation order. getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54FieldIntegrator Get the order of the method. getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince54Integrator Get the order of the method. getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853FieldIntegrator Get the order of the method. getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.DormandPrince853Integrator Get the order of the method. getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator Get the order of the method. getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator Get the order of the method. getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54FieldIntegrator Get the order of the method. getOrder() - Method in class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator Get the order of the method. getOrderOfRegressors() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression Gets the order of the regressors, useful if some type of reordering has been called. getOrigin() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line Get the line point closest to the origin. getOrigin() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane Get the origin point of the plane frame. getOriginal() - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryProjection Get the original point. getOriginOffset() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line Get the offset of the origin. getOrthoTolerance() - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer Gets the value of a tuning parameter. getOutgoing() - Method in class org.apache.commons.math3.geometry.spherical.twod.Vertex Get outgoing edge. getOutline(PolyhedronsSet) - Method in class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor Extract the outline of a polyhedrons set. getP() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition Returns the P rows permutation matrix. getP() - Method in class org.apache.commons.math3.linear.LUDecomposition Returns the P rows permutation matrix. getP() - Method in class org.apache.commons.math3.linear.RRQRDecomposition Returns the pivot matrix, P, used in the QR Decomposition of matrix A such that AP = QR. getParameter(String) - Method in interface org.apache.commons.math3.ode.ParameterizedODE Get parameter value from its name. getParameterEstimate(int) - Method in class org.apache.commons.math3.stat.regression.RegressionResults Returns the parameter estimate for the regressor at the given index. getParameterEstimates() - Method in class org.apache.commons.math3.stat.regression.RegressionResults Returns a copy of the regression parameters estimates. getParameterRelativeTolerance() - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer Gets the value of a tuning parameter. getParameterSize() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter Get the number of parameters (columns in the Jacobian) in this problem. getParameterSize() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem Get the number of parameters (columns in the Jacobian) in this problem. getParametersNames() - Method in class org.apache.commons.math3.ode.AbstractParameterizable Get the names of the supported parameters. getParametersNames() - Method in interface org.apache.commons.math3.ode.Parameterizable Get the names of the supported parameters. getParent() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree Get the parent node. getPartialCorrelations(int) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression In the original algorithm only the partial correlations of the regressors is returned to the user. getPartialDerivative(int...) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Get a partial derivative. getPartialDerivativeIndex(int...) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Get the index of a partial derivative in the array. getPartialDerivativeOrders(int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Get the derivation orders for a specific index in the array. getPct(Comparable<?>) - Method in class org.apache.commons.math3.stat.Frequency Returns the percentage of values that are equal to v (as a proportion between 0 and 1). getPct(int) - Method in class org.apache.commons.math3.stat.Frequency Returns the percentage of values that are equal to v (as a proportion between 0 and 1). getPct(long) - Method in class org.apache.commons.math3.stat.Frequency Returns the percentage of values that are equal to v (as a proportion between 0 and 1). getPct(char) - Method in class org.apache.commons.math3.stat.Frequency Returns the percentage of values that are equal to v (as a proportion between 0 and 1). getPercentile(double) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Returns an estimate for the pth percentile of the stored values. getPercentileImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Returns the currently configured percentile implementation. getPercentileValue() - Method in interface org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.PSquareMarkers Returns Percentile value computed thus far. getPhase(Vector3D) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle Get the phase angle of a direction. getPhi() - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates Get the polar (co-latitude) angle. getPhi() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point Get the polar angle $ \varphi $. getPi() - Method in class org.apache.commons.math3.dfp.DfpField Get the constant π. getPiSplit() - Method in class org.apache.commons.math3.dfp.DfpField Get the constant π split in two pieces. getPivot() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition Returns the pivot permutation vector. getPivot() - Method in class org.apache.commons.math3.linear.LUDecomposition Returns the pivot permutation vector. getPivotingStrategy() - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile Get the PivotingStrategyInterface used in KthSelector for computation. getPivotingStrategy() - Method in class org.apache.commons.math3.util.KthSelector Get the pivotin strategy. getPlus() - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree Get the tree on the plus side of the cut hyperplane. getPlus() - Method in class org.apache.commons.math3.geometry.partitioning.SubHyperplane.SplitSubHyperplane Get the part of the sub-hyperplane on the plus side of the splitting hyperplane. getPlus() - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet.Split Get the part of the arcs set on the plus side of the splitting arc. getPlusInside() - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryAttribute Get the part of the node cut sub-hyperplane that belongs to the boundary and has the inside of the region on the plus side of its underlying hyperplane. getPlusOutside() - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryAttribute Get the part of the node cut sub-hyperplane that belongs to the boundary and has the outside of the region on the plus side of its underlying hyperplane. getPmf() - Method in class org.apache.commons.math3.distribution.EnumeratedDistribution Return the probability mass function as a list of pairs. getPoint(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator Gets the integration point at the given index. getPoint() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation Get the abscissa (independent variables) of this evaluation. getPoint() - Method in interface org.apache.commons.math3.ml.clustering.Clusterable Gets the n-dimensional point. getPoint() - Method in class org.apache.commons.math3.ml.clustering.DoublePoint Gets the n-dimensional point. getPoint(int) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex Get the simplex point stored at the requested index. getPoint() - Method in class org.apache.commons.math3.optim.PointValuePair Gets the point. getPoint() - Method in class org.apache.commons.math3.optim.PointVectorValuePair Gets the point. getPoint() - Method in class org.apache.commons.math3.optim.univariate.UnivariatePointValuePair Get the point. getPoint(int) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex Deprecated. Get the simplex point stored at the requested index. getPoint() - Method in class org.apache.commons.math3.optimization.PointValuePair Deprecated. Gets the point. getPoint() - Method in class org.apache.commons.math3.optimization.PointVectorValuePair Deprecated. Gets the point. getPoint() - Method in class org.apache.commons.math3.optimization.univariate.UnivariatePointValuePair Deprecated. Get the point. getPoint() - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint Deprecated. Get the n-dimensional point in integer space. getPoint() - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint Deprecated. Get the n-dimensional point in integer space. getPointAt(Vector2D, double) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane Get one point from the 3D-space. getPointAt(Vector1D, double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line Get one point from the plane. getPointAt(double) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle Get a circle point from its phase around the circle. getPointAt(double) - Method in class org.apache.commons.math3.geometry.spherical.twod.Edge Get an intermediate point. getPointRef() - Method in class org.apache.commons.math3.optim.PointValuePair Gets a reference to the point. getPointRef() - Method in class org.apache.commons.math3.optim.PointVectorValuePair Gets a reference to the point. getPointRef() - Method in class org.apache.commons.math3.optimization.PointValuePair Deprecated. Gets a reference to the point. getPointRef() - Method in class org.apache.commons.math3.optimization.PointVectorValuePair Deprecated. Gets a reference to the point. getPoints() - Method in class org.apache.commons.math3.ml.clustering.Cluster Get the points contained in the cluster. getPoints() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex Get the points of the simplex. getPoints() - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex Deprecated. Get the points of the simplex. getPoints() - Method in class org.apache.commons.math3.stat.clustering.Cluster Deprecated. Get the points contained in the cluster. getPole() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle Get the pole of the circle. getPolynomials() - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator Compute the interpolation polynomials. getPolynomials() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction Get a copy of the interpolating polynomials array. getPopulationLimit() - Method in class org.apache.commons.math3.genetics.ListPopulation Access the maximum population size. getPopulationLimit() - Method in interface org.apache.commons.math3.genetics.Population Access the maximum population size. getPopulationSize() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution Access the population size. getPopulationSize() - Method in class org.apache.commons.math3.genetics.ListPopulation Access the current population size. getPopulationSize() - Method in interface org.apache.commons.math3.genetics.Population Access the current population size. getPopulationSize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.PopulationSize getPopulationSize() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.PopulationSize Deprecated. getPopulationVariance() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Returns the population variance of the available values. getPopulationVariance() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Returns the population variance of the values that have been added. getPopulationVariance() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Returns the population variance of the values that have been added. getPositivePolarForm() - Method in class org.apache.commons.math3.complex.Quaternion Returns the polar form of the quaternion. getPrefix() - Method in class org.apache.commons.math3.geometry.VectorFormat Get the format prefix. getPrefix() - Method in class org.apache.commons.math3.linear.RealMatrixFormat Get the format prefix. getPrefix() - Method in class org.apache.commons.math3.linear.RealVectorFormat Get the format prefix. getPrevious() - Method in exception org.apache.commons.math3.exception.NonMonotonicSequenceException getPrevious() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree.Node Deprecated. Get the node containing the next smaller or equal element. getPreviousState() - Method in class org.apache.commons.math3.ode.sampling.AbstractFieldStepInterpolator Get the state at previous grid point time. getPreviousState() - Method in interface org.apache.commons.math3.ode.sampling.FieldStepInterpolator Get the state at previous grid point time. getPreviousTime() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator Get the previous soft grid point time. getPreviousTime() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator Get the previous grid point time. getPrimary() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE Get the primary set of differential equations. getPrimaryMapper() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE Get an equations mapper for the primary equations set. getPrimaryState() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE Get primary part of the current state. getPrimaryStateDot() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE Get primary part of the current state derivative. getProbabilityOfSuccess() - Method in class org.apache.commons.math3.distribution.BinomialDistribution Access the probability of success for this distribution. getProbabilityOfSuccess() - Method in class org.apache.commons.math3.distribution.GeometricDistribution Access the probability of success for this distribution. getProbabilityOfSuccess() - Method in class org.apache.commons.math3.distribution.PascalDistribution Access the probability of success for this distribution. getProblem(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math3.fitting.AbstractCurveFitter Creates a least squares problem corresponding to the appropriate curve. getProblem(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math3.fitting.GaussianCurveFitter Creates a least squares problem corresponding to the appropriate curve. getProblem(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math3.fitting.HarmonicCurveFitter Creates a least squares problem corresponding to the appropriate curve. getProblem(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math3.fitting.PolynomialCurveFitter Creates a least squares problem corresponding to the appropriate curve. getProblem(Collection<WeightedObservedPoint>) - Method in class org.apache.commons.math3.fitting.SimpleCurveFitter Creates a least squares problem corresponding to the appropriate curve. getProcessNoise() - Method in class org.apache.commons.math3.filter.DefaultProcessModel Returns the process noise matrix. getProcessNoise() - Method in interface org.apache.commons.math3.filter.ProcessModel Returns the process noise matrix. getProjected() - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryProjection Projected point. getProperInstance() - Static method in class org.apache.commons.math3.fraction.BigFractionFormat Returns the default complex format for the current locale. getProperInstance(Locale) - Static method in class org.apache.commons.math3.fraction.BigFractionFormat Returns the default complex format for the given locale. getProperInstance() - Static method in class org.apache.commons.math3.fraction.FractionFormat Returns the default complex format for the current locale. getProperInstance(Locale) - Static method in class org.apache.commons.math3.fraction.FractionFormat Returns the default complex format for the given locale. getQ() - Method in class org.apache.commons.math3.linear.QRDecomposition Returns the matrix Q of the decomposition. getQ0() - Method in class org.apache.commons.math3.complex.Quaternion Gets the first component of the quaternion (scalar part). getQ0() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation Get the scalar coordinate of the quaternion. getQ0() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation Get the scalar coordinate of the quaternion. getQ1() - Method in class org.apache.commons.math3.complex.Quaternion Gets the second component of the quaternion (first component of the vector part). getQ1() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation Get the first coordinate of the vectorial part of the quaternion. getQ1() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation Get the first coordinate of the vectorial part of the quaternion. getQ2() - Method in class org.apache.commons.math3.complex.Quaternion Gets the third component of the quaternion (second component of the vector part). getQ2() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation Get the second coordinate of the vectorial part of the quaternion. getQ2() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation Get the second coordinate of the vectorial part of the quaternion. getQ3() - Method in class org.apache.commons.math3.complex.Quaternion Gets the fourth component of the quaternion (third component of the vector part). getQ3() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation Get the third coordinate of the vectorial part of the quaternion. getQ3() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation Get the third coordinate of the vectorial part of the quaternion. getQT() - Method in class org.apache.commons.math3.linear.QRDecomposition Returns the transpose of the matrix Q of the decomposition. getQuadraticMean() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Returns the quadratic mean, a.k.a. getQuadraticMean() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Returns the quadratic mean, a.k.a. getQuadraticMean() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics Returns the quadratic mean, a.k.a. getQuadraticMean() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Returns the quadratic mean, a.k.a. getQuantile() - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile Returns the value of the quantile field (determines what percentile is computed when evaluate() is called with no quantile argument). getR() - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates Get the radius. getR() - Method in class org.apache.commons.math3.linear.QRDecomposition Returns the matrix R of the decomposition. getR() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression Returns Pearson's product moment correlation coefficient, usually denoted r. getRadius() - Method in class org.apache.commons.math3.geometry.enclosing.EnclosingBall Get the radius of the ball. getRadixDigits() - Method in class org.apache.commons.math3.dfp.Dfp Get the number of radix digits of the instance. getRadixDigits() - Method in class org.apache.commons.math3.dfp.DfpField Get the number of radix digits of the Dfp instances built by this factory. getRandomGenerator() - Static method in class org.apache.commons.math3.genetics.GeneticAlgorithm Returns the (static) random generator. getRandomGenerator() - Method in class org.apache.commons.math3.ml.clustering.FuzzyKMeansClusterer Returns the random generator this instance will use. getRandomGenerator() - Method in class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer Returns the random generator this instance will use. getRandomGenerator() - Method in class org.apache.commons.math3.random.RandomDataGenerator Returns the RandomGenerator used to generate non-secure random data. getRank() - Method in class org.apache.commons.math3.linear.RectangularCholeskyDecomposition Get the rank of the symmetric positive semidefinite matrix. getRank(double) - Method in class org.apache.commons.math3.linear.RRQRDecomposition Return the effective numerical matrix rank. getRank() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition Return the effective numerical matrix rank. getRank() - Method in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator Get the rank of the covariance matrix. getRankCorrelation() - Method in class org.apache.commons.math3.stat.correlation.SpearmansCorrelation Returns a PearsonsCorrelation instance constructed from the ranked input data. getRankingThreshold() - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer Gets the value of a tuning parameter. getRatio() - Method in class org.apache.commons.math3.genetics.UniformCrossover Returns the mixing ratio used by this CrossoverPolicy. getReal() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Get the real value of the number. getReal() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Get the real value of the number. getReal() - Method in class org.apache.commons.math3.complex.Complex Access the real part. getReal(int) - Method in class org.apache.commons.math3.complex.RootsOfUnity Get the real part of the k-th n-th root of unity. getReal() - Method in class org.apache.commons.math3.dfp.Dfp Get the real value of the number. getReal() - Method in interface org.apache.commons.math3.RealFieldElement Get the real value of the number. getReal() - Method in class org.apache.commons.math3.util.Decimal64 Get the real value of the number. getRealEigenvalue(int) - Method in class org.apache.commons.math3.linear.EigenDecomposition Returns the real part of the i^th eigenvalue of the original matrix. getRealEigenvalues() - Method in class org.apache.commons.math3.linear.EigenDecomposition Gets a copy of the real parts of the eigenvalues of the original matrix. getRealFormat() - Method in class org.apache.commons.math3.complex.ComplexFormat Access the realFormat. getReducedFraction(int, int) - Static method in class org.apache.commons.math3.fraction.BigFraction Creates a BigFraction instance with the 2 parts of a fraction Y/Z. getReducedFraction(int, int) - Static method in class org.apache.commons.math3.fraction.Fraction Creates a Fraction instance with the 2 parts of a fraction Y/Z. getRegressionSumSquares() - Method in class org.apache.commons.math3.stat.regression.RegressionResults Returns the sum of squared deviations of the predicted y values about their mean (which equals the mean of y). getRegressionSumSquares() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression Returns the sum of squared deviations of the predicted y values about their mean (which equals the mean of y). getRelationship() - Method in class org.apache.commons.math3.optim.linear.LinearConstraint Gets the relationship between left and right hand sides. getRelationship() - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint Deprecated. Get the relationship between left and right hand sides. getRelativeAccuracy() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator Get the relative accuracy. getRelativeAccuracy() - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator Get the relative accuracy. getRelativeAccuracy() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver Get the relative accuracy of the solver. getRelativeAccuracy() - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver Get the relative accuracy of the solver. getRelativeAccuracy() - Method in interface org.apache.commons.math3.analysis.solvers.BracketedRealFieldUnivariateSolver Get the relative accuracy of the solver. getRelativeAccuracy() - Method in class org.apache.commons.math3.analysis.solvers.FieldBracketingNthOrderBrentSolver Get the relative accuracy. getRelativeAccuracy() - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP Deprecated. Get the relative accuracy. getRelativeThreshold() - Method in class org.apache.commons.math3.optim.AbstractConvergenceChecker getRelativeThreshold() - Method in class org.apache.commons.math3.optimization.AbstractConvergenceChecker Deprecated. getRemainingRegion() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane Get the remaining region of the hyperplane. getRepresentation() - Method in class org.apache.commons.math3.genetics.AbstractListChromosome Returns the (immutable) inner representation of the chromosome. getResidual() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent Returns the residual. getResidual() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent Returns the residual. getResiduals() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation Get the weighted residuals. getResult() - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic Returns the current value of the Statistic. getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean Returns the current value of the Statistic. getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis Returns the current value of the Statistic. getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean Returns the current value of the Statistic. getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment Returns the current value of the Statistic. getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness Returns the value of the statistic based on the values that have been added. getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation Returns the current value of the Statistic. getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance Returns the current value of the Statistic. getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance Get the covariance matrix. getResult() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean Get the mean vector. getResult() - Method in class org.apache.commons.math3.stat.descriptive.rank.Max Returns the current value of the Statistic. getResult() - Method in class org.apache.commons.math3.stat.descriptive.rank.Min Returns the current value of the Statistic. getResult() - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile Returns the current value of the Statistic. getResult() - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic Returns the current value of the Statistic. getResult() - Method in class org.apache.commons.math3.stat.descriptive.summary.Product Returns the current value of the Statistic. getResult() - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum Returns the current value of the Statistic. getResult() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs Returns the current value of the Statistic. getResult() - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares Returns the current value of the Statistic. getReverse() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line Get the reverse of the instance. getReverse() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle Get the reverse of the instance. getReverse() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle Get the reverse of the instance. getRightHandSideVector() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent Returns the current right-hand side of the linear system to be solved. getRightHandSideVector() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent Returns the current right-hand side of the linear system to be solved. getRMS() - Method in class org.apache.commons.math3.fitting.leastsquares.AbstractEvaluation Get the normalized cost. getRMS() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation Get the normalized cost. getRMS() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer Deprecated. Gets the root-mean-square (RMS) value. getRMS() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer Deprecated. Get the Root Mean Square value. getRootMatrix() - Method in class org.apache.commons.math3.linear.RectangularCholeskyDecomposition Get the root of the covariance matrix. getRootMatrix() - Method in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator Get the root of the covariance matrix. getRoundingMode() - Method in class org.apache.commons.math3.dfp.DfpField Get the current rounding mode. getRoundingMode() - Method in class org.apache.commons.math3.util.BigReal Gets the rounding mode for division operations The default is RoundingMode.HALF_UP getRow(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Get the entries in row number row as an array. getRow(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Get the entries at the given row index. getRow(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Get the entries in row number row as an array. getRow(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Get the entries at the given row index. getRow(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix Get the entries in row number row as an array. getRow() - Method in exception org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException getRow() - Method in exception org.apache.commons.math3.linear.NonSymmetricMatrixException getRow(int) - Method in interface org.apache.commons.math3.linear.RealMatrix Get the entries at the given row index. getRow() - Method in class org.apache.commons.math3.ml.neuralnet.twod.util.LocationFinder.Location getRowDimension() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Returns the number of rows in the matrix. getRowDimension() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Returns the number of rows of this matrix. getRowDimension() - Method in interface org.apache.commons.math3.linear.AnyMatrix Returns the number of rows in the matrix. getRowDimension() - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix Returns the number of rows in the matrix. getRowDimension() - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix Returns the number of rows of this matrix. getRowDimension() - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Returns the number of rows in the matrix. getRowDimension() - Method in class org.apache.commons.math3.linear.BlockRealMatrix Returns the number of rows of this matrix. getRowDimension() - Method in class org.apache.commons.math3.linear.DiagonalMatrix Returns the number of rows of this matrix. getRowDimension() - Method in class org.apache.commons.math3.linear.JacobiPreconditioner Returns the dimension of the codomain of this operator. getRowDimension() - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix Returns the number of rows of this matrix. getRowDimension() - Method in class org.apache.commons.math3.linear.RealLinearOperator Returns the dimension of the codomain of this operator. getRowDimension() - Method in class org.apache.commons.math3.linear.SparseFieldMatrix Returns the number of rows in the matrix. getRowMatrix(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Get the entries in row number row as a row matrix. getRowMatrix(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Get the entries at the given row index as a row matrix. getRowMatrix(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Get the entries in row number row as a row matrix. getRowMatrix(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Get the entries at the given row index as a row matrix. getRowMatrix(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix Get the entries in row number row as a row matrix. getRowMatrix(int) - Method in interface org.apache.commons.math3.linear.RealMatrix Get the entries at the given row index as a row matrix. getRowPrefix() - Method in class org.apache.commons.math3.linear.RealMatrixFormat Get the format prefix. getRowSeparator() - Method in class org.apache.commons.math3.linear.RealMatrixFormat Get the format separator between rows of the matrix. getRowSuffix() - Method in class org.apache.commons.math3.linear.RealMatrixFormat Get the format suffix. getRowVector(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Get the entries in row number row as a vector. getRowVector(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Returns the entries in row number row as a vector. getRowVector(int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Get the entries in row number row as a vector. getRowVector(int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Returns the entries in row number row as a vector. getRowVector(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix Get the entries in row number row as a vector. getRowVector(int) - Method in interface org.apache.commons.math3.linear.RealMatrix Returns the entries in row number row as a vector. getRSquare() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression Returns the coefficient of determination, usually denoted r-square. getRSquared() - Method in class org.apache.commons.math3.stat.regression.RegressionResults Returns the coefficient of multiple determination, usually denoted r-square. getRule(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory Gets a copy of the quadrature rule with the given number of integration points. getRuleInternal(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.BaseRuleFactory Gets a rule. getRuntimeClass() - Method in class org.apache.commons.math3.complex.ComplexField Returns the runtime class of the FieldElement. getRuntimeClass() - Method in class org.apache.commons.math3.dfp.DfpField Returns the runtime class of the FieldElement. getRuntimeClass() - Method in interface org.apache.commons.math3.Field Returns the runtime class of the FieldElement. getRuntimeClass() - Method in class org.apache.commons.math3.fraction.BigFractionField Returns the runtime class of the FieldElement. getRuntimeClass() - Method in class org.apache.commons.math3.fraction.FractionField Returns the runtime class of the FieldElement. getRuntimeClass() - Method in class org.apache.commons.math3.util.BigRealField Returns the runtime class of the FieldElement. getRuntimeClass() - Method in class org.apache.commons.math3.util.Decimal64Field Returns the runtime class of the FieldElement. getS() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition Returns the diagonal matrix Σ of the decomposition. getSafety() - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator Get the safety factor for stepsize control. getSafety() - Method in class org.apache.commons.math3.ode.MultistepIntegrator Get the safety factor for stepsize control. getSafety() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator Get the safety factor for stepsize control. getSafety() - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator Get the safety factor for stepsize control. getSampleSize() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution Access the sample size. getSampleStats() - Method in class org.apache.commons.math3.random.EmpiricalDistribution Returns a StatisticalSummary describing this distribution. getScalarPart() - Method in class org.apache.commons.math3.complex.Quaternion Gets the scalar part of the quaternion. getScale() - Method in class org.apache.commons.math3.distribution.CauchyDistribution Access the scale parameter. getScale() - Method in class org.apache.commons.math3.distribution.GammaDistribution Returns the scale parameter of this distribution. getScale() - Method in class org.apache.commons.math3.distribution.GumbelDistribution Access the scale parameter, beta. getScale() - Method in class org.apache.commons.math3.distribution.LaplaceDistribution Access the scale parameter, beta. getScale() - Method in class org.apache.commons.math3.distribution.LevyDistribution Get the scale parameter of the distribution. getScale() - Method in class org.apache.commons.math3.distribution.LogisticDistribution Access the scale parameter, s. getScale() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution Returns the scale parameter of this distribution. getScale() - Method in class org.apache.commons.math3.distribution.NakagamiDistribution Access the scale parameter, omega. getScale() - Method in class org.apache.commons.math3.distribution.ParetoDistribution Returns the scale parameter of this distribution. getScale() - Method in class org.apache.commons.math3.distribution.WeibullDistribution Access the scale parameter, beta. getScale() - Method in class org.apache.commons.math3.util.BigReal Sets the scale for division operations. getSecond() - Method in class org.apache.commons.math3.genetics.ChromosomePair Access the second chromosome. getSecond() - Method in class org.apache.commons.math3.util.Pair Get the second element of the pair. getSecondaryDerivative(int) - Method in class org.apache.commons.math3.ode.FieldODEStateAndDerivative Get derivative of the secondary state at time. getSecondaryMappers() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE Get the equations mappers for the secondary equations sets. getSecondaryState(int) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE Get secondary part of the current state. getSecondaryState(int) - Method in class org.apache.commons.math3.ode.FieldODEState Get secondary state at time. getSecondaryStateDimension(int) - Method in class org.apache.commons.math3.ode.FieldODEState Get secondary state dimension. getSecondaryStateDot(int) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE Get secondary part of the current state derivative. getSecondMoment() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics Returns a statistic related to the Second Central Moment. getSecondMoment() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Returns a statistic related to the Second Central Moment. getSegments() - Method in class org.apache.commons.math3.geometry.euclidean.threed.SubLine Get the endpoints of the sub-line. getSegments() - Method in class org.apache.commons.math3.geometry.euclidean.twod.SubLine Get the endpoints of the sub-line. getSelectionPolicy() - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm Returns the selection policy. getSeparator() - Method in class org.apache.commons.math3.geometry.VectorFormat Get the format separator between components. getSeparator() - Method in class org.apache.commons.math3.linear.RealVectorFormat Get the format separator between components. getShape() - Method in class org.apache.commons.math3.distribution.GammaDistribution Returns the shape parameter of this distribution. getShape() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution Returns the shape parameter of this distribution. getShape() - Method in class org.apache.commons.math3.distribution.NakagamiDistribution Access the shape parameter, mu. getShape() - Method in class org.apache.commons.math3.distribution.ParetoDistribution Returns the shape parameter of this distribution. getShape() - Method in class org.apache.commons.math3.distribution.WeibullDistribution Access the shape parameter, alpha. getSide() - Method in class org.apache.commons.math3.geometry.partitioning.SubHyperplane.SplitSubHyperplane Get the side of the split sub-hyperplane with respect to its splitter. getSide() - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet.Split Get the side of the split arc with respect to its splitter. getSigma(double) - Method in class org.apache.commons.math3.fitting.leastsquares.AbstractEvaluation Get an estimate of the standard deviation of the parameters. getSigma(double) - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem.Evaluation Get an estimate of the standard deviation of the parameters. getSigma() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer.Sigma getSigma() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer.Sigma Deprecated. getSigma() - Method in class org.apache.commons.math3.random.ValueServer Returns the standard deviation used when operating in ValueServer.GAUSSIAN_MODE. getSignificance() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression Returns the significance level of the slope (equiv) correlation. getSingularValues() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition Returns the diagonal elements of the matrix Σ of the decomposition. getSize() - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Get the array size required for holding partial derivatives data. getSize() - Method in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere Get the size of the sphere. getSize() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval Get the size of the interval. getSize() - Method in class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint Get the size of the instance. getSize() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion Get the size of the instance. getSize() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane Get the size of the instance. getSize() - Method in interface org.apache.commons.math3.geometry.partitioning.Region Get the size of the instance. getSize() - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane Get the size of the instance. getSize() - Method in class org.apache.commons.math3.geometry.spherical.oned.Arc Get the angular size of the arc. getSize() - Method in class org.apache.commons.math3.geometry.spherical.oned.SubLimitAngle Get the size of the instance. getSize() - Method in class org.apache.commons.math3.ml.neuralnet.Neuron Gets the length of the feature set. getSize() - Method in class org.apache.commons.math3.ml.neuralnet.oned.NeuronString Gets the number of neurons. getSize() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex Get simplex size. getSize() - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex Deprecated. Get simplex size. getSize() - Method in class org.apache.commons.math3.util.MultidimensionalCounter Get the total number of elements. getSizes() - Method in class org.apache.commons.math3.util.MultidimensionalCounter Get the number of multidimensional counter slots in each dimension. getSkewness() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Returns the skewness of the available values. getSkewnessImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Returns the currently configured skewness implementation. getSlope() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression Returns the slope of the estimated regression line. getSlopeConfidenceInterval() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression Returns the half-width of a 95% confidence interval for the slope estimate. getSlopeConfidenceInterval(double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression Returns the half-width of a (100-100*alpha)% confidence interval for the slope estimate. getSlopeStdErr() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression Returns the standard error of the slope estimate, usually denoted s(b1). getSmallest() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree Deprecated. Get the node whose element is the smallest one in the tree. getSolution() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent Returns the current estimate of the solution to the linear system to be solved. getSolution() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent Returns the current estimate of the solution to the linear system to be solved. getSolution() - Method in class org.apache.commons.math3.optim.linear.SolutionCallback Retrieve the best solution found so far. getSolver() - Method in class org.apache.commons.math3.linear.CholeskyDecomposition Get a solver for finding the A × X = B solution in least square sense. getSolver() - Method in class org.apache.commons.math3.linear.EigenDecomposition Gets a solver for finding the A × X = B solution in exact linear sense. getSolver() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition Get a solver for finding the A × X = B solution in exact linear sense. getSolver() - Method in class org.apache.commons.math3.linear.LUDecomposition Get a solver for finding the A × X = B solution in exact linear sense. getSolver() - Method in class org.apache.commons.math3.linear.QRDecomposition Get a solver for finding the A × X = B solution in least square sense. getSolver() - Method in class org.apache.commons.math3.linear.RRQRDecomposition Get a solver for finding the A × X = B solution in least square sense. getSolver() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition Get a solver for finding the A × X = B solution in least square sense. getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution Returns the solver absolute accuracy for inverse cumulative computation. getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.BetaDistribution Return the absolute accuracy setting of the solver used to estimate inverse cumulative probabilities. getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.CauchyDistribution Returns the solver absolute accuracy for inverse cumulative computation. getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution Returns the solver absolute accuracy for inverse cumulative computation. getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution Returns the solver absolute accuracy for inverse cumulative computation. getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.FDistribution Returns the solver absolute accuracy for inverse cumulative computation. getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.GammaDistribution Returns the solver absolute accuracy for inverse cumulative computation. getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution Returns the solver absolute accuracy for inverse cumulative computation. getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.NakagamiDistribution Returns the solver absolute accuracy for inverse cumulative computation. getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.NormalDistribution Returns the solver absolute accuracy for inverse cumulative computation. getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.ParetoDistribution Returns the solver absolute accuracy for inverse cumulative computation. getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.TDistribution Returns the solver absolute accuracy for inverse cumulative computation. getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.TriangularDistribution Returns the solver absolute accuracy for inverse cumulative computation. getSolverAbsoluteAccuracy() - Method in class org.apache.commons.math3.distribution.WeibullDistribution Return the absolute accuracy setting of the solver used to estimate inverse cumulative probabilities. getSortedValues() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Returns the current set of values in an array of double primitives, sorted in ascending order. getSourceString() - Method in class org.apache.commons.math3.exception.util.DummyLocalizable Gets the source (non-localized) string. getSourceString() - Method in interface org.apache.commons.math3.exception.util.Localizable Gets the source (non-localized) string. getSourceString() - Method in enum org.apache.commons.math3.exception.util.LocalizedFormats Gets the source (non-localized) string. getSpace() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D Get the space to which the point belongs. getSpace() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Get the space to which the point belongs. getSpace() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Get the space to which the point belongs. getSpace() - Method in interface org.apache.commons.math3.geometry.Point Get the space to which the point belongs. getSpace() - Method in class org.apache.commons.math3.geometry.spherical.oned.S1Point Get the space to which the point belongs. getSpace() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point Get the space to which the point belongs. getSparsity() - Method in class org.apache.commons.math3.linear.OpenMapRealVector getSplitters() - Method in class org.apache.commons.math3.geometry.partitioning.BoundaryAttribute Get the sub-hyperplanes that were used to split the boundary part. getSqr2() - Method in class org.apache.commons.math3.dfp.DfpField Get the constant √2. getSqr2Reciprocal() - Method in class org.apache.commons.math3.dfp.DfpField Get the constant √2 / 2. getSqr2Split() - Method in class org.apache.commons.math3.dfp.DfpField Get the constant √2 split in two pieces. getSqr3() - Method in class org.apache.commons.math3.dfp.DfpField Get the constant √3. getSqr3Reciprocal() - Method in class org.apache.commons.math3.dfp.DfpField Get the constant √3 / 3. getSquareRoot() - Method in class org.apache.commons.math3.linear.EigenDecomposition Computes the square-root of the matrix. getStandardDeviation() - Method in class org.apache.commons.math3.distribution.NormalDistribution Access the standard deviation. getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics Returns the standard deviation of the available values. getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Returns the standard deviation of the available values. getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics Returns an array whose i^th entry is the standard deviation of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[]) getStandardDeviation() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary Returns an array whose i^th entry is the standard deviation of the i^th entries of the arrays that correspond to each multivariate sample getStandardDeviation() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary Returns the standard deviation of the available values. getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Returns the standard deviation of the values that have been added. getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics Returns the standard deviation of the available values. getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics Returns an array whose i^th entry is the standard deviation of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[]) getStandardDeviation() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Returns the standard deviation of the values that have been added. getStandardDeviations() - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution Gets the square root of each element on the diagonal of the covariance matrix. getStart() - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter Gets the initial guess. getStart() - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresProblem Gets the initial guess. getStart() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Segment Get the start point of the segment. getStart() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Segment Get the start point of the segment. getStart() - Method in class org.apache.commons.math3.geometry.spherical.twod.Edge Get start vertex. getStarterIntegrator() - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator Get the starter integrator. getStarterIntegrator() - Method in class org.apache.commons.math3.ode.MultistepIntegrator Get the starter integrator. getStartIndex() - Method in class org.apache.commons.math3.util.ResizableDoubleArray Returns the "start index" of the internal array. getStartPoint() - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer Gets the initial guess. getStartPoint() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer Deprecated. getStartPoint() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer Deprecated. Gets the initial values of the optimized parameters. getStartValue() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver getStartValue() - Method in class org.apache.commons.math3.optim.univariate.SearchInterval Gets the start value. getStartValue() - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer getStartValue() - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer Deprecated. getState() - Method in class org.apache.commons.math3.ode.FieldODEState Get main state at time. getStateDimension() - Method in class org.apache.commons.math3.filter.KalmanFilter Returns the dimension of the state estimation vector. getStateDimension() - Method in class org.apache.commons.math3.ode.FieldODEState Get main state dimension. getStateEstimation() - Method in class org.apache.commons.math3.filter.KalmanFilter Returns the current state estimation vector. getStateEstimationVector() - Method in class org.apache.commons.math3.filter.KalmanFilter Returns a copy of the current state estimation vector. getStateTransitionMatrix() - Method in class org.apache.commons.math3.filter.DefaultProcessModel Returns the state transition matrix. getStateTransitionMatrix() - Method in interface org.apache.commons.math3.filter.ProcessModel Returns the state transition matrix. getStatisticsDHistory() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer getStatisticsDHistory() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer Deprecated. getStatisticsFitnessHistory() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer getStatisticsFitnessHistory() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer Deprecated. getStatisticsMeanHistory() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer getStatisticsMeanHistory() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer Deprecated. getStatisticsSigmaHistory() - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer getStatisticsSigmaHistory() - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer Deprecated. getStdErrorOfEstimate(int) - Method in class org.apache.commons.math3.stat.regression.RegressionResults Returns the standard error of the parameter estimate at index, usually denoted s(b_index). getStdErrorOfEstimates() - Method in class org.apache.commons.math3.stat.regression.RegressionResults Returns the standard error of the parameter estimates, usually denoted s(b_i). getStepHandlers() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator Get all the step handlers that have been added to the integrator. getStepHandlers() - Method in class org.apache.commons.math3.ode.AbstractIntegrator Get all the step handlers that have been added to the integrator. getStepHandlers() - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator Get all the step handlers that have been added to the integrator. getStepHandlers() - Method in interface org.apache.commons.math3.ode.ODEIntegrator Get all the step handlers that have been added to the integrator. getStepSize() - Method in class org.apache.commons.math3.analysis.differentiation.FiniteDifferencesDifferentiator Get the step size. getStepSize() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator Get the current step size. getStepStart() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator Getcurrent step start. getStrict() - Method in exception org.apache.commons.math3.exception.NonMonotonicSequenceException getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Get a submatrix. getSubMatrix(int[], int[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Get a submatrix. getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Gets a submatrix. getSubMatrix(int[], int[]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Gets a submatrix. getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Get a submatrix. getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Gets a submatrix. getSubMatrix(int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix Get a submatrix. getSubMatrix(int[], int[]) - Method in interface org.apache.commons.math3.linear.FieldMatrix Get a submatrix. getSubMatrix(int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix Gets a submatrix. getSubMatrix(int[], int[]) - Method in interface org.apache.commons.math3.linear.RealMatrix Gets a submatrix. getSubSpace() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Euclidean1D Get the n-1 dimension subspace of this space. getSubSpace() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Euclidean3D Get the n-1 dimension subspace of this space. getSubSpace() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Euclidean2D Get the n-1 dimension subspace of this space. getSubSpace() - Method in interface org.apache.commons.math3.geometry.Space Get the n-1 dimension subspace of this space. getSubSpace() - Method in class org.apache.commons.math3.geometry.spherical.oned.Sphere1D Get the n-1 dimension subspace of this space. getSubSpace() - Method in class org.apache.commons.math3.geometry.spherical.twod.Sphere2D Get the n-1 dimension subspace of this space. getSubVector(int, int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Get a subvector from consecutive elements. getSubVector(int, int) - Method in class org.apache.commons.math3.linear.ArrayRealVector Get a subvector from consecutive elements. getSubVector(int, int) - Method in interface org.apache.commons.math3.linear.FieldVector Get a subvector from consecutive elements. getSubVector(int, int) - Method in class org.apache.commons.math3.linear.OpenMapRealVector Get a subvector from consecutive elements. getSubVector(int, int) - Method in class org.apache.commons.math3.linear.RealVector Get a subvector from consecutive elements. getSubVector(int, int) - Method in class org.apache.commons.math3.linear.SparseFieldVector Get a subvector from consecutive elements. getSuffix() - Method in class org.apache.commons.math3.geometry.VectorFormat Get the format suffix. getSuffix() - Method in class org.apache.commons.math3.linear.RealMatrixFormat Get the format suffix. getSuffix() - Method in class org.apache.commons.math3.linear.RealVectorFormat Get the format suffix. getSum() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics Returns the sum of the values that have been added to Univariate. getSum() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Returns the sum of the values that have been added to Univariate. getSum() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics Returns an array whose i^th entry is the sum of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[]) getSum() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary Returns an array whose i^th entry is the sum of the i^th entries of the arrays that correspond to each multivariate sample getSum() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary Returns the sum of the values that have been added to Univariate. getSum() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues getSum() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Returns the sum of the values that have been added getSum() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics Returns an array whose i^th entry is the sum of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[]) getSum() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Returns the sum of the values that have been added getSumFreq() - Method in class org.apache.commons.math3.stat.Frequency Returns the sum of all frequencies. getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Returns the currently configured sum implementation. getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics Returns the currently configured Sum implementation getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Returns the currently configured Sum implementation getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics Returns the currently configured Sum implementation getSumImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Returns the currently configured Sum implementation getSumLog() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics Returns an array whose i^th entry is the sum of logs of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[]) getSumLog() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary Returns an array whose i^th entry is the sum of logs of the i^th entries of the arrays that correspond to each multivariate sample getSumLog() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics Returns an array whose i^th entry is the sum of logs of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[]) getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean Returns the currently configured sum of logs implementation getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics Returns the currently configured sum of logs implementation getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Returns the currently configured sum of logs implementation getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics Returns the currently configured sum of logs implementation getSumLogImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Returns the currently configured sum of logs implementation getSummary() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics Return a StatisticalSummaryValues instance reporting current aggregate statistics. getSummary() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Return a StatisticalSummaryValues instance reporting current statistics. getSummary() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Return a StatisticalSummaryValues instance reporting current statistics. getSumOfCrossProducts() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression Returns the sum of crossproducts, x_i*y_i. getSumOfLogs() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics Returns the sum of the logs of all the aggregated data. getSumOfLogs() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Returns the sum of the logs of the values that have been added. getSumsq() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics Returns the sum of the squares of all the aggregated data. getSumsq() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Returns the sum of the squares of the available values. getSumSq() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics Returns an array whose i^th entry is the sum of squares of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[]) getSumSq() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalMultivariateSummary Returns an array whose i^th entry is the sum of squares of the i^th entries of the arrays that correspond to each multivariate sample getSumsq() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Returns the sum of the squares of the values that have been added. getSumSq() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics Returns an array whose i^th entry is the sum of squares of the i^th entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[]) getSumsq() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Returns the sum of the squares of the values that have been added. getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Returns the currently configured sum of squares implementation. getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics Returns the currently configured sum of squares implementation getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Returns the currently configured sum of squares implementation getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics Returns the currently configured sum of squares implementation getSumsqImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Returns the currently configured sum of squares implementation getSumSquaredErrors() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression Returns the sum of squared errors (SSE) associated with the regression model. getSup() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval Get the upper bound of the interval. getSup() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet Get the highest value belonging to the instance. getSup() - Method in class org.apache.commons.math3.geometry.spherical.oned.Arc Get the upper angular bound of the arc. getSupport() - Method in class org.apache.commons.math3.geometry.enclosing.EnclosingBall Get the support points used to define the ball. getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.BetaDistribution Access the lower bound of the support. getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.BinomialDistribution Access the lower bound of the support. getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.CauchyDistribution Access the lower bound of the support. getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution Access the lower bound of the support. getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution Access the lower bound of the support. getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution Access the lower bound of the support. getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution Access the lower bound of the support. getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution Access the lower bound of the support. getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.FDistribution Access the lower bound of the support. getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.GammaDistribution Access the lower bound of the support. getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.GeometricDistribution Access the lower bound of the support. getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.GumbelDistribution Access the lower bound of the support. getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution Access the lower bound of the support. getSupportLowerBound() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution Access the lower bound of the support. getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.LaplaceDistribution Access the lower bound of the support. getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.LevyDistribution Access the lower bound of the support. getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.LogisticDistribution Access the lower bound of the support. getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution Access the lower bound of the support. getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.NakagamiDistribution Access the lower bound of the support. getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.NormalDistribution Access the lower bound of the support. getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.ParetoDistribution Access the lower bound of the support. getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.PascalDistribution Access the lower bound of the support. getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.PoissonDistribution Access the lower bound of the support. getSupportLowerBound() - Method in interface org.apache.commons.math3.distribution.RealDistribution Access the lower bound of the support. getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.TDistribution Access the lower bound of the support. getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.TriangularDistribution Access the lower bound of the support. getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution Access the lower bound of the support. getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution Access the lower bound of the support. getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.WeibullDistribution Access the lower bound of the support. getSupportLowerBound() - Method in class org.apache.commons.math3.distribution.ZipfDistribution Access the lower bound of the support. getSupportLowerBound() - Method in class org.apache.commons.math3.random.EmpiricalDistribution Access the lower bound of the support. getSupportSize() - Method in class org.apache.commons.math3.geometry.enclosing.EnclosingBall Get the number of support points used to define the ball. getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.BetaDistribution Access the upper bound of the support. getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.BinomialDistribution Access the upper bound of the support. getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.CauchyDistribution Access the upper bound of the support. getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution Access the upper bound of the support. getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution Access the upper bound of the support. getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution Access the upper bound of the support. getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution Access the upper bound of the support. getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution Access the upper bound of the support. getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.FDistribution Access the upper bound of the support. getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.GammaDistribution Access the upper bound of the support. getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.GeometricDistribution Access the upper bound of the support. getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.GumbelDistribution Access the upper bound of the support. getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution Access the upper bound of the support. getSupportUpperBound() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution Access the upper bound of the support. getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.LaplaceDistribution Access the upper bound of the support. getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.LevyDistribution Access the upper bound of the support. getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.LogisticDistribution Access the upper bound of the support. getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution Access the upper bound of the support. getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.NakagamiDistribution Access the upper bound of the support. getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.NormalDistribution Access the upper bound of the support. getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.ParetoDistribution Access the upper bound of the support. getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.PascalDistribution Access the upper bound of the support. getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.PoissonDistribution Access the upper bound of the support. getSupportUpperBound() - Method in interface org.apache.commons.math3.distribution.RealDistribution Access the upper bound of the support. getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.TDistribution Access the upper bound of the support. getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.TriangularDistribution Access the upper bound of the support. getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution Access the upper bound of the support. getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution Access the upper bound of the support. getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.WeibullDistribution Access the upper bound of the support. getSupportUpperBound() - Method in class org.apache.commons.math3.distribution.ZipfDistribution Access the upper bound of the support. getSupportUpperBound() - Method in class org.apache.commons.math3.random.EmpiricalDistribution Access the upper bound of the support. getTarget() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer Deprecated. Gets the observed values to be matched by the objective vector function. getTarget() - Method in class org.apache.commons.math3.optim.nonlinear.vector.Target Deprecated. Gets the initial guess. getTarget() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer Deprecated. Gets the observed values to be matched by the objective vector function. getTarget() - Method in class org.apache.commons.math3.optimization.Target Deprecated. Gets the initial guess. getTargetRef() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer Deprecated. As of 3.1. getTargetSize() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer Deprecated. Gets the number of observed values. getTheta() - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates Get the azimuthal angle in x-y plane. getTheta() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point Get the azimuthal angle $ \theta $ in the x-y plane. getThreshold() - Method in exception org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException getThreshold() - Method in exception org.apache.commons.math3.linear.NonSymmetricMatrixException getThrowable() - Method in class org.apache.commons.math3.exception.util.ExceptionContext Get a reference to the exception to which the context relates. getTiesStrategy() - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking Return the TiesStrategy getTime() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE Get current time. getTime() - Method in class org.apache.commons.math3.ode.FieldODEState Get time. getTolerance() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint Get the tolerance below which points are considered to belong to the hyperplane. getTolerance() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line Get the tolerance below which points are considered identical. getTolerance() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane Get the tolerance below which points are considered to belong to the hyperplane. getTolerance() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line Get the tolerance below which points are considered to belong to the hyperplane. getTolerance() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion Get the tolerance below which points are considered to belong to hyperplanes. getTolerance() - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane Get the tolerance below which points are considered to belong to the hyperplane. getTolerance() - Method in class org.apache.commons.math3.geometry.spherical.oned.Arc Get the tolerance below which angles are considered identical. getTolerance() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle Get the tolerance below which points are considered to belong to the hyperplane. getTolerance() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle Get the tolerance below which points are considered to belong to the hyperplane. getTotalDimension() - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE Return the dimension of the complete set of equations. getTotalDimension() - Method in class org.apache.commons.math3.ode.FieldEquationsMapper Return the dimension of the complete set of equations. getTotalSumSquares() - Method in class org.apache.commons.math3.stat.regression.RegressionResults Returns the sum of squared deviations of the y values about their mean. getTotalSumSquares() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression Returns the sum of squared deviations of the y values about their mean. getTrace() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Returns the trace of the matrix (the sum of the elements on the main diagonal). getTrace() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Returns the trace of the matrix (the sum of the elements on the main diagonal). getTrace() - Method in interface org.apache.commons.math3.linear.FieldMatrix Returns the trace of the matrix (the sum of the elements on the main diagonal). getTrace() - Method in interface org.apache.commons.math3.linear.RealMatrix Returns the trace of the matrix (the sum of the elements on the main diagonal). getTransform(AffineTransform) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Line Deprecated. as of 3.6, replaced with Line.getTransform(double, double, double, double, double, double) getTransform(double, double, double, double, double, double) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.Line Get a Transform embedding an affine transform. getTransform(Rotation) - Static method in class org.apache.commons.math3.geometry.spherical.twod.Circle Get a Transform embedding a 3D rotation. getTransformer(Class<?>) - Method in class org.apache.commons.math3.util.TransformerMap Returns the Transformer that is mapped to a class if mapping is not present, this returns null. getTree(boolean) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion Get the underlying BSP tree. getTree(boolean) - Method in interface org.apache.commons.math3.geometry.partitioning.Region Get the underlying BSP tree. getTriggeredIncreasing() - Method in enum org.apache.commons.math3.ode.events.FilterType Get the increasing status of triggered events. getTwo() - Method in class org.apache.commons.math3.dfp.Dfp Get the constant 2. getTwo() - Method in class org.apache.commons.math3.dfp.DfpField Get the constant 2. getU() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane Get the plane first canonical vector. getU() - Method in class org.apache.commons.math3.linear.FieldLUDecomposition Returns the matrix U of the decomposition. getU() - Method in class org.apache.commons.math3.linear.LUDecomposition Returns the matrix U of the decomposition. getU() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition Returns the matrix U of the decomposition. getUniqueCount() - Method in class org.apache.commons.math3.stat.Frequency Returns the number of values in the frequency table. getUpper() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Interval Deprecated. as of 3.1, replaced by Interval.getSup() getUpper() - Method in class org.apache.commons.math3.optim.SimpleBounds Gets the upper bounds. getUpper() - Method in class org.apache.commons.math3.optimization.SimpleBounds Deprecated. Gets the lower bounds. getUpperBound() - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer getUpperBound() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer Deprecated. getUpperBound() - Method in class org.apache.commons.math3.stat.interval.ConfidenceInterval getUpperBounds() - Method in class org.apache.commons.math3.random.EmpiricalDistribution Returns a fresh copy of the array of upper bounds for the bins. getUT() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition Returns the transpose of the matrix U of the decomposition. getV() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane Get the plane second canonical vector. getV() - Method in class org.apache.commons.math3.linear.EigenDecomposition Gets the matrix V of the decomposition. getV() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition Returns the matrix V of the decomposition. getVals() - Method in class org.apache.commons.math3.special.BesselJ.BesselJResult getValue() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Get the value part of the derivative structure. getValue() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Get the value of the function. getValue(String) - Method in class org.apache.commons.math3.exception.util.ExceptionContext Gets the value associated to the given context key. getValue() - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapEntry Get the value of the entry. getValue() - Method in class org.apache.commons.math3.linear.RealVector.Entry Get the value of the entry. getValue() - Method in class org.apache.commons.math3.optim.linear.LinearConstraint Gets the value of the constraint (right hand side). getValue() - Method in class org.apache.commons.math3.optim.PointVectorValuePair Gets the value of the objective function. getValue() - Method in class org.apache.commons.math3.optim.univariate.UnivariatePointValuePair Get the value of the objective function. getValue() - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint Deprecated. Get the value of the constraint (right hand side). getValue(double[]) - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction Deprecated. Compute the value of the linear equation at the current point getValue(RealVector) - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction Deprecated. Compute the value of the linear equation at the current point getValue() - Method in class org.apache.commons.math3.optimization.PointVectorValuePair Deprecated. Gets the value of the objective function. getValue() - Method in class org.apache.commons.math3.optimization.univariate.UnivariatePointValuePair Deprecated. Get the value of the objective function. getValue() - Method in class org.apache.commons.math3.util.Pair Get the value. getValueRef() - Method in class org.apache.commons.math3.optim.PointVectorValuePair Gets a reference to the value of the objective function. getValueRef() - Method in class org.apache.commons.math3.optimization.PointVectorValuePair Deprecated. Gets a reference to the value of the objective function. getValues() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Returns the current set of values in an array of double primitives. getValues() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics Returns the current set of values in an array of double primitives. getValuesFileURL() - Method in class org.apache.commons.math3.random.ValueServer Returns the URL for the file used to build the empirical distribution when using ValueServer.DIGEST_MODE. getVariance() - Method in class org.apache.commons.math3.stat.descriptive.AggregateSummaryStatistics Returns the variance of the available values. getVariance() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Returns the (sample) variance of the available values. getVariance() - Method in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary Returns the variance of the available values. getVariance() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues getVariance() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Returns the (sample) variance of the available values. getVariance() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Returns the (sample) variance of the available values. getVarianceDirection() - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance Returns the varianceDirection property. getVarianceImpl() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Returns the currently configured variance implementation. getVarianceImpl() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Returns the currently configured variance implementation getVarianceImpl() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Returns the currently configured variance implementation getVector() - Method in class org.apache.commons.math3.geometry.spherical.oned.S1Point Get the corresponding normalized vector in the 2D euclidean space. getVector() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point Get the corresponding normalized vector in the 3D euclidean space. getVectorPart() - Method in class org.apache.commons.math3.complex.Quaternion Gets the three components of the vector part of the quaternion. getVertices() - Method in class org.apache.commons.math3.geometry.euclidean.twod.hull.ConvexHull2D Get the vertices of the convex hull. getVertices() - Method in class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet Get the vertices of the polygon. getVertices() - Method in interface org.apache.commons.math3.geometry.hull.ConvexHull Get the vertices of the convex hull. getVT() - Method in class org.apache.commons.math3.linear.EigenDecomposition Gets the transpose of the matrix V of the decomposition. getVT() - Method in class org.apache.commons.math3.linear.SingularValueDecomposition Returns the transpose of the matrix V of the decomposition. getWeight(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator Gets the weight of the integration point at the given index. getWeight() - Method in class org.apache.commons.math3.fitting.WeightedObservedPoint Gets the weight of the measurement in the fitting process. getWeight() - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer Deprecated. Gets the weight matrix of the observations. getWeight() - Method in class org.apache.commons.math3.optim.nonlinear.vector.Weight Deprecated. Gets the initial guess. getWeight() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer Deprecated. Gets the weight matrix of the observations. getWeight() - Method in class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint Deprecated. Get the weight of the measurement in the fitting process. getWeight() - Method in class org.apache.commons.math3.optimization.Weight Deprecated. Gets the initial guess. getWeightRef() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer Deprecated. As of 3.1. getWeightSquareRoot() - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer Deprecated. Gets the square-root of the weight matrix. getWeightSquareRoot() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer Deprecated. Gets the square-root of the weight matrix. getWholeFormat() - Method in class org.apache.commons.math3.fraction.ProperBigFractionFormat Access the whole format. getWholeFormat() - Method in class org.apache.commons.math3.fraction.ProperFractionFormat Access the whole format. getWilsonScoreInterval(int, int, double) - Static method in class org.apache.commons.math3.stat.interval.IntervalUtils Create a Wilson score binomial confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level. getWindowSize() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Returns the maximum number of values that can be stored in the dataset, or INFINITE_WINDOW (-1) if there is no limit. getWindowSize() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics Returns the maximum number of values that can be stored in the dataset, or INFINITE_WINDOW (-1) if there is no limit. getWorkArray(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile Get the work array to operate. getWrongColumnDimension() - Method in exception org.apache.commons.math3.linear.MatrixDimensionMismatchException getWrongDimension(int) - Method in exception org.apache.commons.math3.exception.MultiDimensionMismatchException getWrongDimensions() - Method in exception org.apache.commons.math3.exception.MultiDimensionMismatchException getWrongRowDimension() - Method in exception org.apache.commons.math3.linear.MatrixDimensionMismatchException getX() - Method in class org.apache.commons.math3.fitting.WeightedObservedPoint Gets the abscissa of the point. getX() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D Get the abscissa of the vector. getX() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Get the abscissa of the vector. getX() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Get the abscissa of the vector. getX() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Get the abscissa of the vector. getX() - Method in class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint Deprecated. Get the abscissa of the point. getX() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression getXAxis() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle Get the X axis of the circle. getXSumSquares() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression Returns the sum of squared deviations of the x values about their mean. getY() - Method in class org.apache.commons.math3.fitting.WeightedObservedPoint Gets the observed value of the function at x. getY() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Get the ordinate of the vector. getY() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Get the ordinate of the vector. getY() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Get the ordinate of the vector. getY() - Method in class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint Deprecated. Get the observed value of the function at x. getY() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression getYAxis() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle Get the Y axis of the circle. getZ() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Get the height of the vector. getZ() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Get the height of the vector. getZero() - Method in class org.apache.commons.math3.complex.ComplexField Get the additive identity of the field. getZero() - Method in class org.apache.commons.math3.dfp.Dfp Get the constant 0. getZero() - Method in class org.apache.commons.math3.dfp.DfpField Get the constant 0. getZero() - Method in interface org.apache.commons.math3.Field Get the additive identity of the field. getZero() - Method in class org.apache.commons.math3.fraction.BigFractionField Get the additive identity of the field. getZero() - Method in class org.apache.commons.math3.fraction.FractionField Get the additive identity of the field. getZero() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D Get the null vector of the vectorial space or origin point of the affine space. getZero() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Get the null vector of the vectorial space or origin point of the affine space. getZero() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Get the null vector of the vectorial space or origin point of the affine space. getZero() - Method in interface org.apache.commons.math3.geometry.Vector Get the null vector of the vectorial space or origin point of the affine space. getZero() - Method in class org.apache.commons.math3.util.BigRealField Get the additive identity of the field. getZero() - Method in class org.apache.commons.math3.util.Decimal64Field Get the additive identity of the field. GillFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode.nonstiff This class implements the Gill fourth order Runge-Kutta integrator for Ordinary Differential Equations . GillFieldIntegrator(Field<T>, T) - Constructor for class org.apache.commons.math3.ode.nonstiff.GillFieldIntegrator Simple constructor. GillIntegrator - Class in org.apache.commons.math3.ode.nonstiff This class implements the Gill fourth order Runge-Kutta integrator for Ordinary Differential Equations . GillIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.GillIntegrator Simple constructor. GLSMultipleLinearRegression - Class in org.apache.commons.math3.stat.regression The GLS implementation of multiple linear regression. GLSMultipleLinearRegression() - Constructor for class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression GoalType - Enum in org.apache.commons.math3.optim.nonlinear.scalar Goal type for an optimization problem (minimization or maximization of a scalar function. GoalType - Enum in org.apache.commons.math3.optimization Deprecated. As of 3.1 (to be removed in 4.0). gradient() - Method in interface org.apache.commons.math3.analysis.DifferentiableMultivariateFunction Deprecated. Returns the gradient function. gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.Gaussian.Parametric Computes the value of the gradient at x. gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator.Parametric Computes the value of the gradient at x. gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.Logistic.Parametric Computes the value of the gradient at x. gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.Logit.Parametric Computes the value of the gradient at x. gradient(double, double...) - Method in class org.apache.commons.math3.analysis.function.Sigmoid.Parametric Computes the value of the gradient at x. gradient(double, double...) - Method in interface org.apache.commons.math3.analysis.ParametricUnivariateFunction Compute the gradient of the function with respect to its parameters. gradient(double, double...) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction.Parametric Compute the gradient of the function with respect to its parameters. GradientFunction - Class in org.apache.commons.math3.analysis.differentiation Class representing the gradient of a multivariate function. GradientFunction(MultivariateDifferentiableFunction) - Constructor for class org.apache.commons.math3.analysis.differentiation.GradientFunction Simple constructor. GradientMultivariateOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar Base class for implementing optimizers for multivariate scalar differentiable functions. GradientMultivariateOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.GradientMultivariateOptimizer GraggBulirschStoerIntegrator - Class in org.apache.commons.math3.ode.nonstiff This class implements a Gragg-Bulirsch-Stoer integrator for Ordinary Differential Equations. GraggBulirschStoerIntegrator(double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator Simple constructor. GraggBulirschStoerIntegrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator Simple constructor. greaterThan(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp Check if instance is greater than x. GTest - Class in org.apache.commons.math3.stat.inference Implements G Test statistics. GTest() - Constructor for class org.apache.commons.math3.stat.inference.GTest gTest(double[], long[]) - Method in class org.apache.commons.math3.stat.inference.GTest Returns the observed significance level, or p-value, associated with a G-Test for goodness of fit comparing the observed frequency counts to those in the expected array. gTest(double[], long[], double) - Method in class org.apache.commons.math3.stat.inference.GTest Performs a G-Test (Log-Likelihood Ratio Test) for goodness of fit evaluating the null hypothesis that the observed counts conform to the frequency distribution described by the expected counts, with significance level alpha. gTest(double[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils gTest(double[], long[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils gTestDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math3.stat.inference.GTest Returns the observed significance level, or p-value, associated with a G-Value (Log-Likelihood Ratio) for two sample test comparing bin frequency counts in observed1 and observed2. gTestDataSetsComparison(long[], long[], double) - Method in class org.apache.commons.math3.stat.inference.GTest Performs a G-Test (Log-Likelihood Ratio Test) comparing two binned data sets. gTestDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils gTestDataSetsComparison(long[], long[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils gTestIntrinsic(double[], long[]) - Method in class org.apache.commons.math3.stat.inference.GTest Returns the intrinsic (Hardy-Weinberg proportions) p-Value, as described in p64-69 of McDonald, J.H. gTestIntrinsic(double[], long[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils guess() - Method in class org.apache.commons.math3.fitting.GaussianCurveFitter.ParameterGuesser Gets an estimation of the parameters. guess() - Method in class org.apache.commons.math3.fitting.GaussianFitter.ParameterGuesser Deprecated. Gets an estimation of the parameters. guess() - Method in class org.apache.commons.math3.fitting.HarmonicCurveFitter.ParameterGuesser Gets an estimation of the parameters. guess() - Method in class org.apache.commons.math3.fitting.HarmonicFitter.ParameterGuesser Deprecated. Gets an estimation of the parameters. guess() - Method in class org.apache.commons.math3.optimization.fitting.GaussianFitter.ParameterGuesser Deprecated. Gets an estimation of the parameters. guess() - Method in class org.apache.commons.math3.optimization.fitting.HarmonicFitter.ParameterGuesser Deprecated. Gets an estimation of the parameters. guessParametersErrors() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer Deprecated. as of version 3.1, AbstractLeastSquaresOptimizer.computeSigma(double[],double) should be used instead. It should be emphasized that guessParametersErrors and computeSigma are not strictly equivalent. GumbelDistribution - Class in org.apache.commons.math3.distribution This class implements the Gumbel distribution. GumbelDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.GumbelDistribution Build a new instance. GumbelDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.GumbelDistribution Build a new instance. H h - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator current time step HaltonSequenceGenerator - Class in org.apache.commons.math3.random Implementation of a Halton sequence. HaltonSequenceGenerator(int) - Constructor for class org.apache.commons.math3.random.HaltonSequenceGenerator Construct a new Halton sequence generator for the given space dimension. HaltonSequenceGenerator(int, int[], int[]) - Constructor for class org.apache.commons.math3.random.HaltonSequenceGenerator Construct a new Halton sequence generator with the given base numbers and weights for each dimension. handleStep(FieldStepInterpolator<T>, boolean) - Method in class org.apache.commons.math3.ode.ContinuousOutputFieldModel Handle the last accepted step. handleStep(StepInterpolator, boolean) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel Handle the last accepted step. handleStep(StepInterpolator, boolean) - Method in class org.apache.commons.math3.ode.sampling.DummyStepHandler Handle the last accepted step. handleStep(FieldODEStateAndDerivative<T>, boolean) - Method in interface org.apache.commons.math3.ode.sampling.FieldFixedStepHandler Handle the last accepted step handleStep(FieldStepInterpolator<T>, boolean) - Method in interface org.apache.commons.math3.ode.sampling.FieldStepHandler Handle the last accepted step handleStep(FieldStepInterpolator<T>, boolean) - Method in class org.apache.commons.math3.ode.sampling.FieldStepNormalizer Handle the last accepted step handleStep(double, double[], double[], boolean) - Method in interface org.apache.commons.math3.ode.sampling.FixedStepHandler Handle the last accepted step handleStep(StepInterpolator, boolean) - Method in interface org.apache.commons.math3.ode.sampling.StepHandler Handle the last accepted step handleStep(StepInterpolator, boolean) - Method in class org.apache.commons.math3.ode.sampling.StepNormalizer Handle the last accepted step HarmonicCurveFitter - Class in org.apache.commons.math3.fitting Fits points to a harmonic oscillator function. HarmonicCurveFitter.ParameterGuesser - Class in org.apache.commons.math3.fitting This class guesses harmonic coefficients from a sample. HarmonicCurveFitter.ParameterGuesser(Collection<WeightedObservedPoint>) - Constructor for class org.apache.commons.math3.fitting.HarmonicCurveFitter.ParameterGuesser Simple constructor. HarmonicFitter - Class in org.apache.commons.math3.fitting Deprecated. As of 3.3. Please use HarmonicCurveFitter and WeightedObservedPoints instead. HarmonicFitter(MultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.fitting.HarmonicFitter Deprecated. Simple constructor. HarmonicFitter - Class in org.apache.commons.math3.optimization.fitting Deprecated. As of 3.1 (to be removed in 4.0). HarmonicFitter(DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.HarmonicFitter Deprecated. Simple constructor. HarmonicFitter.ParameterGuesser - Class in org.apache.commons.math3.fitting Deprecated. This class guesses harmonic coefficients from a sample. HarmonicFitter.ParameterGuesser(WeightedObservedPoint[]) - Constructor for class org.apache.commons.math3.fitting.HarmonicFitter.ParameterGuesser Deprecated. Simple constructor. HarmonicFitter.ParameterGuesser - Class in org.apache.commons.math3.optimization.fitting Deprecated. This class guesses harmonic coefficients from a sample. HarmonicFitter.ParameterGuesser(WeightedObservedPoint[]) - Constructor for class org.apache.commons.math3.optimization.fitting.HarmonicFitter.ParameterGuesser Deprecated. Simple constructor. HarmonicOscillator - Class in org.apache.commons.math3.analysis.function simple harmonic oscillator function. HarmonicOscillator(double, double, double) - Constructor for class org.apache.commons.math3.analysis.function.HarmonicOscillator Harmonic oscillator function. HarmonicOscillator.Parametric - Class in org.apache.commons.math3.analysis.function Parametric function where the input array contains the parameters of the harmonic oscillator function, ordered as follows: Amplitude Angular frequency Phase HarmonicOscillator.Parametric() - Constructor for class org.apache.commons.math3.analysis.function.HarmonicOscillator.Parametric hasComplexEigenvalues() - Method in class org.apache.commons.math3.linear.EigenDecomposition Returns whether the calculated eigen values are complex or real. hash(double) - Static method in class org.apache.commons.math3.util.MathUtils Returns an integer hash code representing the given double value. hash(double[]) - Static method in class org.apache.commons.math3.util.MathUtils Returns an integer hash code representing the given double array. hashCode() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Get a hashCode for the derivative structure. hashCode() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Get a hashCode for the derivative structure. hashCode() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction hashCode() - Method in class org.apache.commons.math3.complex.Complex Get a hashCode for the complex number. hashCode() - Method in class org.apache.commons.math3.complex.Quaternion hashCode() - Method in class org.apache.commons.math3.dfp.Dfp Gets a hashCode for the instance. hashCode() - Method in class org.apache.commons.math3.fraction.BigFraction Gets a hashCode for the fraction. hashCode() - Method in class org.apache.commons.math3.fraction.Fraction Gets a hashCode for the fraction. hashCode() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D Get a hashCode for the 1D vector. hashCode() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Get a hashCode for the 3D vector. hashCode() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Get a hashCode for the 3D vector. hashCode() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Get a hashCode for the 2D vector. hashCode() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple Deprecated. hashCode() - Method in class org.apache.commons.math3.geometry.spherical.oned.S1Point Get a hashCode for the 2D vector. hashCode() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point Get a hashCode for the 2D vector. hashCode() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Computes a hashcode for the matrix. hashCode() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Computes a hashcode for the matrix. hashCode() - Method in class org.apache.commons.math3.linear.ArrayFieldVector Get a hashCode for the real vector. hashCode() - Method in class org.apache.commons.math3.linear.ArrayRealVector . hashCode() - Method in class org.apache.commons.math3.linear.OpenMapRealVector . hashCode() - Method in class org.apache.commons.math3.linear.RealVector . hashCode() - Method in class org.apache.commons.math3.linear.SparseFieldVector hashCode() - Method in class org.apache.commons.math3.ml.clustering.DoublePoint hashCode() - Method in class org.apache.commons.math3.optim.linear.LinearConstraint hashCode() - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction hashCode() - Method in class org.apache.commons.math3.optimization.linear.LinearConstraint Deprecated. hashCode() - Method in class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction Deprecated. hashCode() - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint Deprecated. hashCode() - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint Deprecated. hashCode() - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic Returns hash code based on getResult() and getN() hashCode() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance hashCode() - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean hashCode() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics Returns hash code based on values of statistics hashCode() - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile Returns hash code based on getResult() and getN() hashCode() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues Returns hash code based on values of statistics hashCode() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Returns hash code based on values of statistics hashCode() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics Returns hash code based on values of statistics hashCode() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Returns hash code based on values of statistics hashCode() - Method in class org.apache.commons.math3.stat.Frequency hashCode() - Method in class org.apache.commons.math3.util.BigReal hashCode() - Method in class org.apache.commons.math3.util.Decimal64 The current implementation returns the same value as new Double(this.doubleValue()).hashCode() hashCode() - Method in class org.apache.commons.math3.util.DefaultTransformer hashCode() - Method in class org.apache.commons.math3.util.Pair Compute a hash code. hashCode() - Method in class org.apache.commons.math3.util.ResizableDoubleArray Returns a hash code consistent with equals. hashCode() - Method in class org.apache.commons.math3.util.TransformerMap hasIntercept() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression A getter method which determines whether a constant is included. hasIntercept() - Method in class org.apache.commons.math3.stat.regression.RegressionResults Returns true if the regression model has been computed including an intercept. hasIntercept() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression Returns true if the model includes an intercept term. hasIntercept() - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression Returns true if a constant has been included false otherwise. hasNext() - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapSparseIterator hasNext() - Method in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator hasNext() - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor hasNext() - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator hasNext() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator Check if there is a next element in the map. hasNext() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator Check if there is a next element in the map. height(int) - Method in interface org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.PSquareMarkers Returns the marker height (or percentile) of a given marker index. hermite(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory Creates a Gauss-Hermite integrator of the given order. HermiteInterpolator - Class in org.apache.commons.math3.analysis.interpolation Polynomial interpolator using both sample values and sample derivatives. HermiteInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator Create an empty interpolator. HermiteRuleFactory - Class in org.apache.commons.math3.analysis.integration.gauss Factory that creates a Gauss-type quadrature rule using Hermite polynomials of the first kind. HermiteRuleFactory() - Constructor for class org.apache.commons.math3.analysis.integration.gauss.HermiteRuleFactory HighamHall54FieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode.nonstiff This class implements the 5(4) Higham and Hall integrator for Ordinary Differential Equations. HighamHall54FieldIntegrator(Field<T>, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.HighamHall54FieldIntegrator Simple constructor. HighamHall54FieldIntegrator(Field<T>, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.HighamHall54FieldIntegrator Simple constructor. HighamHall54Integrator - Class in org.apache.commons.math3.ode.nonstiff This class implements the 5(4) Higham and Hall integrator for Ordinary Differential Equations. HighamHall54Integrator(double, double, double, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator Simple constructor. HighamHall54Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.nonstiff.HighamHall54Integrator Simple constructor. HitHistogram - Class in org.apache.commons.math3.ml.neuralnet.twod.util Computes the hit histogram. HitHistogram(boolean, DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.neuralnet.twod.util.HitHistogram homoscedasticT(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils homoscedasticT(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils homoscedasticT(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest Computes a 2-sample t statistic, under the hypothesis of equal subpopulation variances. homoscedasticT(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest Computes a 2-sample t statistic, comparing the means of the datasets described by two StatisticalSummary instances, under the assumption of equal subpopulation variances. homoscedasticT(double, double, double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest Computes t test statistic for 2-sample t-test under the hypothesis of equal subpopulation variances. homoscedasticTTest(double[], double[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils homoscedasticTTest(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils homoscedasticTTest(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils homoscedasticTTest(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the input arrays, under the assumption that the two samples are drawn from subpopulations with equal variances. homoscedasticTTest(double[], double[], double) - Method in class org.apache.commons.math3.stat.inference.TTest Performs a two-sided t-test evaluating the null hypothesis that sample1 and sample2 are drawn from populations with the same mean, with significance level alpha, assuming that the subpopulation variances are equal. homoscedasticTTest(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two StatisticalSummary instances, under the hypothesis of equal subpopulation variances. homoscedasticTTest(double, double, double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest Computes p-value for 2-sided, 2-sample t-test, under the assumption of equal subpopulation variances. HypergeometricDistribution - Class in org.apache.commons.math3.distribution Implementation of the hypergeometric distribution. HypergeometricDistribution(int, int, int) - Constructor for class org.apache.commons.math3.distribution.HypergeometricDistribution Construct a new hypergeometric distribution with the specified population size, number of successes in the population, and sample size. HypergeometricDistribution(RandomGenerator, int, int, int) - Constructor for class org.apache.commons.math3.distribution.HypergeometricDistribution Creates a new hypergeometric distribution. Hyperplane<S extends Space> - Interface in org.apache.commons.math3.geometry.partitioning This interface represents an hyperplane of a space. hypot(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Returns the hypotenuse of a triangle with sides this and y - sqrt(this² +y²) avoiding intermediate overflow or underflow. hypot(DerivativeStructure, DerivativeStructure) - Static method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Returns the hypotenuse of a triangle with sides x and y - sqrt(x² +y²) avoiding intermediate overflow or underflow. hypot(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Returns the hypotenuse of a triangle with sides this and y - sqrt(this² +y²) avoiding intermediate overflow or underflow. hypot(SparseGradient, SparseGradient) - Static method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Returns the hypotenuse of a triangle with sides x and y - sqrt(x² +y²) avoiding intermediate overflow or underflow. hypot(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp Returns the hypotenuse of a triangle with sides this and y - sqrt(this² +y²) avoiding intermediate overflow or underflow. hypot(T) - Method in interface org.apache.commons.math3.RealFieldElement Returns the hypotenuse of a triangle with sides this and y - sqrt(this² +y²) avoiding intermediate overflow or underflow. hypot(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64 Returns the hypotenuse of a triangle with sides this and y - sqrt(this² +y²) avoiding intermediate overflow or underflow. hypot(double, double) - Static method in class org.apache.commons.math3.util.FastMath Returns the hypotenuse of a triangle with sides x and y - sqrt(x² +y²) avoiding intermediate overflow or underflow. I I - Static variable in class org.apache.commons.math3.complex.Complex The square root of -1. I - Static variable in class org.apache.commons.math3.complex.Quaternion i i1 - Variable in class org.apache.commons.math3.random.AbstractWell Index indirection table giving for each index the value index + m1 taking table size into account. i2 - Variable in class org.apache.commons.math3.random.AbstractWell Index indirection table giving for each index the value index + m2 taking table size into account. i3 - Variable in class org.apache.commons.math3.random.AbstractWell Index indirection table giving for each index the value index + m3 taking table size into account. Identity - Class in org.apache.commons.math3.analysis.function Identity function. Identity() - Constructor for class org.apache.commons.math3.analysis.function.Identity IDENTITY - Static variable in class org.apache.commons.math3.complex.Quaternion Identity quaternion. IDENTITY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Rotation Identity rotation. identityPermutation(int) - Static method in class org.apache.commons.math3.genetics.RandomKey Generates a representation corresponding to an identity permutation of length l which can be passed to the RandomKey constructor. IEEEremainder(double, double) - Static method in class org.apache.commons.math3.util.FastMath Computes the remainder as prescribed by the IEEE 754 standard. IllConditionedOperatorException - Exception in org.apache.commons.math3.linear An exception to be thrown when the condition number of a RealLinearOperator is too high. IllConditionedOperatorException(double) - Constructor for exception org.apache.commons.math3.linear.IllConditionedOperatorException Creates a new instance of this class. IllinoisSolver - Class in org.apache.commons.math3.analysis.solvers Implements the Illinois method for root-finding (approximating a zero of a univariate real function). IllinoisSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.IllinoisSolver Construct a solver with default accuracy (1e-6). IllinoisSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.IllinoisSolver Construct a solver. IllinoisSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.IllinoisSolver Construct a solver. IllinoisSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.IllinoisSolver Construct a solver. incMoment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis Determines whether or not this statistic can be incremented or cleared. incMoment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Mean Determines whether or not this statistic can be incremented or cleared. incMoment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Skewness Determines whether or not this statistic can be incremented or cleared. incMoment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Variance Whether or not Variance.increment(double) should increment the internal second moment. increment(double[]) - Method in class org.apache.commons.math3.stat.correlation.StorelessCovariance Increment the covariance matrix with one row of data. increment(double) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic Updates the internal state of the statistic to reflect the addition of the new value. increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean Updates the internal state of the statistic to reflect the addition of the new value. increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis Updates the internal state of the statistic to reflect the addition of the new value. increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Mean Updates the internal state of the statistic to reflect the addition of the new value. increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment Updates the internal state of the statistic to reflect the addition of the new value. increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Skewness Updates the internal state of the statistic to reflect the addition of the new value. increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation Updates the internal state of the statistic to reflect the addition of the new value. increment(double) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance Updates the internal state of the statistic to reflect the addition of the new value. increment(double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance Add a new vector to the sample. increment(double[]) - Method in class org.apache.commons.math3.stat.descriptive.moment.VectorialMean Add a new vector to the sample. increment(double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Max Updates the internal state of the statistic to reflect the addition of the new value. increment(double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Min Updates the internal state of the statistic to reflect the addition of the new value. increment(double) - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile Updates the internal state of the statistic to reflect the addition of the new value. increment(double) - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic Updates the internal state of the statistic to reflect the addition of the new value. increment(double) - Method in class org.apache.commons.math3.stat.descriptive.summary.Product Updates the internal state of the statistic to reflect the addition of the new value. increment(double) - Method in class org.apache.commons.math3.stat.descriptive.summary.Sum Updates the internal state of the statistic to reflect the addition of the new value. increment(double) - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs Updates the internal state of the statistic to reflect the addition of the new value. increment(double) - Method in class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares Updates the internal state of the statistic to reflect the addition of the new value. increment(int) - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor Performs multiple increments. increment() - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor Adds the increment value to the current iteration count. incrementAll(double[]) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic This default implementation just calls AbstractStorelessUnivariateStatistic.increment(double) in a loop over the input array. incrementAll(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractStorelessUnivariateStatistic This default implementation just calls AbstractStorelessUnivariateStatistic.increment(double) in a loop over the specified portion of the input array. incrementAll(double[]) - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic Updates the internal state of the statistic to reflect addition of all values in the values array. incrementAll(double[], int, int) - Method in interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic Updates the internal state of the statistic to reflect addition of the values in the designated portion of the values array. incrementCount() - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator Increment the number of iterations. incrementCount(int) - Method in class org.apache.commons.math3.util.Incrementor Deprecated. Performs multiple increments. incrementCount() - Method in class org.apache.commons.math3.util.Incrementor Deprecated. Adds one to the current iteration count. incrementEvaluationCount() - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver Increment the evaluation count by one. incrementEvaluationCount() - Method in class org.apache.commons.math3.optim.BaseOptimizer Increment the evaluation count. incrementExact(int) - Static method in class org.apache.commons.math3.util.FastMath Increment a number, detecting overflows. incrementExact(long) - Static method in class org.apache.commons.math3.util.FastMath Increment a number, detecting overflows. incrementIterationCount() - Method in class org.apache.commons.math3.optim.BaseOptimizer Increment the iteration count. incrementIterationCount() - Method in class org.apache.commons.math3.util.IterationManager Increments the iteration count by one, and throws an exception if the maximum number of iterations is reached. incrementIterationsCounter() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer Deprecated. Increment the iterations counter by 1. Incrementor - Class in org.apache.commons.math3.util Deprecated. Use IntegerSequence.Incrementor instead. Incrementor() - Constructor for class org.apache.commons.math3.util.Incrementor Deprecated. Default constructor. Incrementor(int) - Constructor for class org.apache.commons.math3.util.Incrementor Deprecated. Defines a maximal count. Incrementor(int, Incrementor.MaxCountExceededCallback) - Constructor for class org.apache.commons.math3.util.Incrementor Deprecated. Defines a maximal count and a callback method to be triggered at counter exhaustion. Incrementor.MaxCountExceededCallback - Interface in org.apache.commons.math3.util Deprecated. Defines a method to be called at counter exhaustion. incrementValue(Comparable<?>, long) - Method in class org.apache.commons.math3.stat.Frequency Increments the frequency count for v. incrementValue(int, long) - Method in class org.apache.commons.math3.stat.Frequency Increments the frequency count for v. incrementValue(long, long) - Method in class org.apache.commons.math3.stat.Frequency Increments the frequency count for v. incrementValue(char, long) - Method in class org.apache.commons.math3.stat.Frequency Increments the frequency count for v. index - Variable in class org.apache.commons.math3.random.AbstractWell Current index in the bytes pool. index(double, int) - Method in enum org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType Finds the index of array that can be used as starting index to estimate percentile. inducedPermutation(List<S>, List<S>) - Static method in class org.apache.commons.math3.genetics.RandomKey Generates a representation of a permutation corresponding to a permutation which yields permutedData when applied to originalData. INF - Static variable in class org.apache.commons.math3.complex.Complex A complex number representing "+INF + INFi" INFINITE - Static variable in class org.apache.commons.math3.dfp.Dfp Indicator value for Infinity. INFINITE_WINDOW - Static variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Represents an infinite window size. init(FieldODEStateAndDerivative<T>, T) - Method in class org.apache.commons.math3.ode.ContinuousOutputFieldModel Initialize step handler at the start of an ODE integration. init(double, double[], double) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel Initialize step handler at the start of an ODE integration. init(double, double[], double) - Method in class org.apache.commons.math3.ode.events.EventFilter Initialize event handler at the start of an ODE integration. init(double, double[], double) - Method in interface org.apache.commons.math3.ode.events.EventHandler Initialize event handler at the start of an ODE integration. init(FieldODEStateAndDerivative<T>, T) - Method in interface org.apache.commons.math3.ode.events.FieldEventHandler Initialize event handler at the start of an ODE integration. init(T, T[], T) - Method in class org.apache.commons.math3.ode.FieldExpandableODE Initialize equations at the start of an ODE integration. init(T, T[], T[], T) - Method in interface org.apache.commons.math3.ode.FieldSecondaryEquations Initialize equations at the start of an ODE integration. init(T, T[], T) - Method in interface org.apache.commons.math3.ode.FirstOrderFieldDifferentialEquations Initialize equations at the start of an ODE integration. init(double, double[], double) - Method in class org.apache.commons.math3.ode.sampling.DummyStepHandler Initialize step handler at the start of an ODE integration. init(FieldODEStateAndDerivative<T>, T) - Method in interface org.apache.commons.math3.ode.sampling.FieldFixedStepHandler Initialize step handler at the start of an ODE integration. init(FieldODEStateAndDerivative<T>, T) - Method in interface org.apache.commons.math3.ode.sampling.FieldStepHandler Initialize step handler at the start of an ODE integration. init(FieldODEStateAndDerivative<T>, T) - Method in class org.apache.commons.math3.ode.sampling.FieldStepNormalizer Initialize step handler at the start of an ODE integration. init(double, double[], double) - Method in interface org.apache.commons.math3.ode.sampling.FixedStepHandler Initialize step handler at the start of an ODE integration. init(double, double[], double) - Method in interface org.apache.commons.math3.ode.sampling.StepHandler Initialize step handler at the start of an ODE integration. init(double, double[], double) - Method in class org.apache.commons.math3.ode.sampling.StepNormalizer Initialize step handler at the start of an ODE integration. InitialGuess - Class in org.apache.commons.math3.optim Starting point (first guess) of the optimization procedure. InitialGuess(double[]) - Constructor for class org.apache.commons.math3.optim.InitialGuess InitialGuess - Class in org.apache.commons.math3.optimization Deprecated. As of 3.1 (to be removed in 4.0). InitialGuess(double[]) - Constructor for class org.apache.commons.math3.optimization.InitialGuess Deprecated. initializationPerformed(IterationEvent) - Method in interface org.apache.commons.math3.util.IterationListener Invoked after completion of the initial phase of the iterative algorithm (prior to the main iteration loop). initializeHighOrderDerivatives(T, T[], T[][], T[][]) - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator Initialize the high order scaled derivatives at step start. initializeHighOrderDerivatives(double, double[], double[][], double[][]) - Method in class org.apache.commons.math3.ode.MultistepIntegrator Initialize the high order scaled derivatives at step start. initializeHighOrderDerivatives(double, double[], double[][], double[][]) - Method in interface org.apache.commons.math3.ode.MultistepIntegrator.NordsieckTransformer Deprecated. Initialize the high order scaled derivatives at step start. initializeHighOrderDerivatives(T, T[], T[][], T[][]) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsFieldIntegrator Initialize the high order scaled derivatives at step start. initializeHighOrderDerivatives(double, double[], double[][], double[][]) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator Initialize the high order scaled derivatives at step start. initializeHighOrderDerivatives(T, T[], T[][], T[][]) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckFieldTransformer Initialize the high order scaled derivatives at step start. initializeHighOrderDerivatives(double, double[], double[][], double[][]) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer Initialize the high order scaled derivatives at step start. initializeStep(boolean, int, T[], FieldODEStateAndDerivative<T>, FieldEquationsMapper<T>) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator Initialize the integration step. initializeStep(boolean, int, double[], double, double[], double[], double[], double[]) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator Initialize the integration step. initIntegration(FieldExpandableODE<T>, T, T[], T) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator Prepare the start of an integration. initIntegration(double, double[], double) - Method in class org.apache.commons.math3.ode.AbstractIntegrator Prepare the start of an integration. innerDistribution - Variable in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution EnumeratedDistribution instance (using the Integer wrapper) used to generate the pmf. innerDistribution - Variable in class org.apache.commons.math3.distribution.EnumeratedRealDistribution EnumeratedDistribution (using the Double wrapper) used to generate the pmf. insert(T) - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree Deprecated. Insert an element in the tree. insertCut(Hyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree Insert a cut sub-hyperplane in a node. insertEquationData(double[], double[]) - Method in class org.apache.commons.math3.ode.EquationsMapper Insert equation data into a complete state or derivative array. insertEquationData(int, T[], T[]) - Method in class org.apache.commons.math3.ode.FieldEquationsMapper Insert equation data into a complete state or derivative array. insertInTree(BSPTree<S>, boolean) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree Deprecated. as of 3.4, replaced with BSPTree.insertInTree(BSPTree, boolean, VanishingCutHandler) insertInTree(BSPTree<S>, boolean, BSPTree.VanishingCutHandler<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree Insert the instance into another tree. InsufficientDataException - Exception in org.apache.commons.math3.exception Exception to be thrown when there is insufficient data to perform a computation. InsufficientDataException() - Constructor for exception org.apache.commons.math3.exception.InsufficientDataException Construct the exception. InsufficientDataException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.InsufficientDataException Construct the exception with a specific context. INTEGER_ZERO - Static variable in exception org.apache.commons.math3.exception.MathIllegalNumberException Helper to avoid boxing warnings. IntegerDistribution - Interface in org.apache.commons.math3.distribution Interface for distributions on the integers. IntegerSequence - Class in org.apache.commons.math3.util Provides a sequence of integers. IntegerSequence.Incrementor - Class in org.apache.commons.math3.util Utility that increments a counter until a maximum is reached, at which point, the instance will by default throw a MaxCountExceededException. IntegerSequence.Incrementor.MaxCountExceededCallback - Interface in org.apache.commons.math3.util Defines a method to be called at counter exhaustion. IntegerSequence.Range - Class in org.apache.commons.math3.util Generates a sequence of integers. IntegerSequence.Range(int, int, int) - Constructor for class org.apache.commons.math3.util.IntegerSequence.Range Creates a sequence $ a_i, i < 0 <= n $ where $ a_i = start + i * step $ and $ n $ is such that $ a_n <= max $ and $ a_{n+1} > max $. integrate(int, UnivariateFunction, double, double) - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator Integrate the function in the given interval. integrate(UnivariateFunction) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator Returns an estimate of the integral of f(x) * w(x), where w is a weight function that depends on the actual flavor of the Gauss integration scheme. integrate(UnivariateFunction) - Method in class org.apache.commons.math3.analysis.integration.gauss.SymmetricGaussIntegrator Returns an estimate of the integral of f(x) * w(x), where w is a weight function that depends on the actual flavor of the Gauss integration scheme. integrate(int, UnivariateFunction, double, double) - Method in interface org.apache.commons.math3.analysis.integration.UnivariateIntegrator Integrate the function in the given interval. integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class org.apache.commons.math3.ode.AbstractIntegrator Integrate the differential equations up to the given time. integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.AbstractIntegrator Integrate a set of differential equations up to the given time. integrate(FieldExpandableODE<T>, FieldODEState<T>, T) - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator Integrate the differential equations up to the given time. integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in interface org.apache.commons.math3.ode.FirstOrderIntegrator Integrate the differential equations up to the given time. integrate(FieldExpandableODE<T>, FieldODEState<T>, T) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsBashforthFieldIntegrator Integrate the differential equations up to the given time. integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsBashforthIntegrator Integrate a set of differential equations up to the given time. integrate(FieldExpandableODE<T>, FieldODEState<T>, T) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsFieldIntegrator Integrate the differential equations up to the given time. integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator Integrate a set of differential equations up to the given time. integrate(FieldExpandableODE<T>, FieldODEState<T>, T) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonFieldIntegrator Integrate the differential equations up to the given time. integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsMoultonIntegrator Integrate a set of differential equations up to the given time. integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator Integrate a set of differential equations up to the given time. integrate(FieldExpandableODE<T>, FieldODEState<T>, T) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator Integrate the differential equations up to the given time. integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator Integrate a set of differential equations up to the given time. integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator Integrate a set of differential equations up to the given time. integrate(FieldExpandableODE<T>, FieldODEState<T>, T) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaFieldIntegrator Integrate the differential equations up to the given time. integrate(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaIntegrator Integrate a set of differential equations up to the given time. integrate(SecondOrderDifferentialEquations, double, double[], double[], double, double[], double[]) - Method in interface org.apache.commons.math3.ode.SecondOrderIntegrator Integrate the differential equations up to the given time interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.AkimaSplineInterpolator Computes an interpolating function for the data set. interpolate(double[], double[], double[][]) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicInterpolator Compute an interpolating function for the dataset. interpolate(double[], double[], double[][]) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolator Deprecated. Compute an interpolating function for the dataset. interpolate(double[], double[], double[][]) - Method in interface org.apache.commons.math3.analysis.interpolation.BivariateGridInterpolator Compute an interpolating function for the dataset. interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.DividedDifferenceInterpolator Compute an interpolating function for the dataset. interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.LinearInterpolator Computes a linear interpolating function for the data set. interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator Compute an interpolating function by performing a loess fit on the data at the original abscissae and then building a cubic spline with a SplineInterpolator on the resulting fit. interpolate(double[][], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator Deprecated. Computes an interpolating function for the data set. interpolate(double[][], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereProjectionInterpolator Computes an interpolating function for the data set. interpolate(double[][], double[]) - Method in interface org.apache.commons.math3.analysis.interpolation.MultivariateInterpolator Computes an interpolating function for the data set. interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.NevilleInterpolator Computes an interpolating function for the data set. interpolate(double[], double[], double[][]) - Method in class org.apache.commons.math3.analysis.interpolation.PiecewiseBicubicSplineInterpolator Compute an interpolating function for the dataset. interpolate(double[], double[], double[][]) - Method in class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator Deprecated. Compute an interpolating function for the dataset. interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.SplineInterpolator Computes an interpolating function for the data set. interpolate(double[], double[], double[], double[][][]) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicInterpolator Compute an interpolating function for the dataset. interpolate(double[], double[], double[], double[][][]) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolator Deprecated. Compute an interpolating function for the dataset. interpolate(double[], double[], double[], double[][][]) - Method in interface org.apache.commons.math3.analysis.interpolation.TrivariateGridInterpolator Compute an interpolating function for the dataset. interpolate(double[], double[]) - Method in interface org.apache.commons.math3.analysis.interpolation.UnivariateInterpolator Compute an interpolating function for the dataset. interpolate(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.UnivariatePeriodicInterpolator Compute an interpolating function for the dataset. interpolatedDerivatives - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator interpolated derivatives interpolatedPrimaryDerivatives - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator interpolated primary derivatives interpolatedPrimaryState - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator interpolated primary state interpolatedSecondaryDerivatives - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator interpolated secondary derivatives interpolatedSecondaryState - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator interpolated secondary state interpolatedState - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator interpolated state interpolatedTime - Variable in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator interpolated time InterpolatingMicrosphere - Class in org.apache.commons.math3.analysis.interpolation Utility class for the MicrosphereProjectionInterpolator algorithm. InterpolatingMicrosphere(int, int, double, double, double) - Constructor for class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere Create an unitialiazed sphere. InterpolatingMicrosphere(int, int, double, double, double, UnitSphereRandomVectorGenerator) - Constructor for class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere Create a sphere from randomly sampled vectors. InterpolatingMicrosphere(InterpolatingMicrosphere) - Constructor for class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere Copy constructor. InterpolatingMicrosphere2D - Class in org.apache.commons.math3.analysis.interpolation Utility class for the MicrosphereProjectionInterpolator algorithm. InterpolatingMicrosphere2D(int, double, double, double) - Constructor for class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere2D Create a sphere from vectors regularly sampled around a circle. InterpolatingMicrosphere2D(InterpolatingMicrosphere2D) - Constructor for class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere2D Copy constructor. intersection(Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line Get the intersection point of the instance and another line. intersection(Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane Get the intersection of a line with the instance. intersection(Plane) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane Build the line shared by the instance and another plane. intersection(Plane, Plane, Plane) - Static method in class org.apache.commons.math3.geometry.euclidean.threed.Plane Get the intersection point of three planes. intersection(SubLine, boolean) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SubLine Get the intersection of the instance and another sub-line. intersection(Line) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line Get the intersection point of the instance and another line. intersection(SubLine, boolean) - Method in class org.apache.commons.math3.geometry.euclidean.twod.SubLine Get the intersection of the instance and another sub-line. intersection(SubHyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion Get the parts of a sub-hyperplane that are contained in the region. intersection(SubHyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region Get the parts of a sub-hyperplane that are contained in the region. intersection(Region<S>, Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory Compute the intersection of two regions. Interval - Class in org.apache.commons.math3.geometry.euclidean.oned This class represents a 1D interval. Interval(double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Interval Simple constructor. IntervalsSet - Class in org.apache.commons.math3.geometry.euclidean.oned This class represents a 1D region: a set of intervals. IntervalsSet(double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet Build an intervals set representing the whole real line. IntervalsSet(double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet Build an intervals set corresponding to a single interval. IntervalsSet(BSPTree<Euclidean1D>, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet Build an intervals set from an inside/outside BSP tree. IntervalsSet(Collection<SubHyperplane<Euclidean1D>>, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet Build an intervals set from a Boundary REPresentation (B-rep). IntervalsSet() - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet Deprecated. as of 3.1 replaced with IntervalsSet.IntervalsSet(double) IntervalsSet(double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet Deprecated. as of 3.3 replaced with IntervalsSet.IntervalsSet(double, double, double) IntervalsSet(BSPTree<Euclidean1D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet Deprecated. as of 3.3, replaced with IntervalsSet.IntervalsSet(BSPTree, double) IntervalsSet(Collection<SubHyperplane<Euclidean1D>>) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet Deprecated. as of 3.3, replaced with IntervalsSet.IntervalsSet(Collection, double) IntervalUtils - Class in org.apache.commons.math3.stat.interval Factory methods to generate confidence intervals for a binomial proportion. intLog10() - Method in class org.apache.commons.math3.dfp.Dfp Get the exponent of the greatest power of 10 that is less than or equal to abs(this). intValue() - Method in class org.apache.commons.math3.dfp.Dfp Convert this to an integer. intValue() - Method in class org.apache.commons.math3.fraction.BigFraction Gets the fraction as an int. intValue() - Method in class org.apache.commons.math3.fraction.Fraction Gets the fraction as an int. intValue() - Method in class org.apache.commons.math3.util.Decimal64 The current implementation performs casting to a int. InvalidRepresentationException - Exception in org.apache.commons.math3.genetics Exception indicating that the representation of a chromosome is not valid. InvalidRepresentationException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.genetics.InvalidRepresentationException Construct an InvalidRepresentationException with a specialized message. Inverse - Class in org.apache.commons.math3.analysis.function Inverse function. Inverse() - Constructor for class org.apache.commons.math3.analysis.function.Inverse inverse() - Method in class org.apache.commons.math3.linear.DiagonalMatrix Computes the inverse of this diagonal matrix. inverse(double) - Method in class org.apache.commons.math3.linear.DiagonalMatrix Computes the inverse of this diagonal matrix. inverse(RealMatrix) - Static method in class org.apache.commons.math3.linear.MatrixUtils Computes the inverse of the given matrix. inverse(RealMatrix, double) - Static method in class org.apache.commons.math3.linear.MatrixUtils Computes the inverse of the given matrix. inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution Computes the quantile function of this distribution. inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution Computes the quantile function of this distribution. inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.CauchyDistribution Computes the quantile function of this distribution. inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution Computes the quantile function of this distribution. inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution Computes the quantile function of this distribution. inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.ExponentialDistribution Computes the quantile function of this distribution. inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.GeometricDistribution Computes the quantile function of this distribution. inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.GumbelDistribution Computes the quantile function of this distribution. inverseCumulativeProbability(double) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution Computes the quantile function of this distribution. inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.LaplaceDistribution Computes the quantile function of this distribution. inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.LevyDistribution Computes the quantile function of this distribution. inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.LogisticDistribution Computes the quantile function of this distribution. inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.NormalDistribution Computes the quantile function of this distribution. inverseCumulativeProbability(double) - Method in interface org.apache.commons.math3.distribution.RealDistribution Computes the quantile function of this distribution. inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.TriangularDistribution Computes the quantile function of this distribution. inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.UniformRealDistribution Computes the quantile function of this distribution. inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.distribution.WeibullDistribution Computes the quantile function of this distribution. inverseCumulativeProbability(double) - Method in class org.apache.commons.math3.random.EmpiricalDistribution Computes the quantile function of this distribution. invGamma1pm1(double) - Static method in class org.apache.commons.math3.special.Gamma Returns the value of 1 / Γ(1 + x) - 1 for -0.5 ≤ x ≤ 1.5. iRm1 - Variable in class org.apache.commons.math3.random.AbstractWell Index indirection table giving for each index its predecessor taking table size into account. iRm2 - Variable in class org.apache.commons.math3.random.AbstractWell Index indirection table giving for each index its second predecessor taking table size into account. ISAACRandom - Class in org.apache.commons.math3.random ISAAC: a fast cryptographic pseudo-random number generator ISAAC (Indirection, Shift, Accumulate, Add, and Count) generates 32-bit random numbers. ISAACRandom() - Constructor for class org.apache.commons.math3.random.ISAACRandom Creates a new ISAAC random number generator. ISAACRandom(long) - Constructor for class org.apache.commons.math3.random.ISAACRandom Creates a new ISAAC random number generator using a single long seed. ISAACRandom(int[]) - Constructor for class org.apache.commons.math3.random.ISAACRandom Creates a new ISAAC random number generator using an int array seed. isBetterScore(double, double) - Method in class org.apache.commons.math3.ml.clustering.evaluation.ClusterEvaluator Returns whether the first evaluation score is considered to be better than the second one by this evaluator. isBiasCorrected() - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance Returns true iff biasCorrected property is set to true. isBiasCorrected() - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation isBiasCorrected() - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance isBracketing(double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver Check whether the function takes opposite signs at the endpoints. isBracketing(UnivariateFunction, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils Check whether the interval bounds bracket a root. isCounterClockWise() - Method in class org.apache.commons.math3.complex.RootsOfUnity Returns true if RootsOfUnity.computeRoots(int) was called with a positive value of its argument n. isDefaultValue(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector Determine if this value is within epsilon of zero. isDirect() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint Check if the hyperplane orientation is direct. isDirect() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle Check if the hyperplane orientation is direct. isEmpty() - Method in class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint Check if the instance is empty. isEmpty() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion Check if the instance is empty. isEmpty(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion Check if the sub-tree starting at a given node is empty. isEmpty() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane Check if the instance is empty. isEmpty() - Method in interface org.apache.commons.math3.geometry.partitioning.Region Check if the instance is empty. isEmpty(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region Check if the sub-tree starting at a given node is empty. isEmpty() - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane Check if the instance is empty. isEmpty() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree Deprecated. Check if the tree is empty. isEmpty() - Method in class org.apache.commons.math3.geometry.spherical.oned.SubLimitAngle Check if the instance is empty. isForward() - Method in class org.apache.commons.math3.ode.sampling.AbstractFieldStepInterpolator Check if the natural integration direction is forward. isForward() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator Check if the natural integration direction is forward. isForward() - Method in interface org.apache.commons.math3.ode.sampling.FieldStepInterpolator Check if the natural integration direction is forward. isForward() - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator Check if the natural integration direction is forward. isFull() - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion Check if the instance covers the full space. isFull(BSPTree<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion Check if the sub-tree starting at a given node covers the full space. isFull() - Method in interface org.apache.commons.math3.geometry.partitioning.Region Check if the instance covers the full space. isFull(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region Check if the sub-tree starting at a given node covers the full space. isInfinite() - Method in class org.apache.commons.math3.complex.Complex Checks whether either the real or imaginary part of this complex number takes an infinite value (either Double.POSITIVE_INFINITY or Double.NEGATIVE_INFINITY) and neither part is NaN. isInfinite() - Method in class org.apache.commons.math3.dfp.Dfp Check if instance is infinite. isInfinite() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise isInfinite() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise isInfinite() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise isInfinite() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise isInfinite() - Method in interface org.apache.commons.math3.geometry.Vector Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise isInfinite() - Method in class org.apache.commons.math3.linear.ArrayRealVector Check whether any coordinate of this vector is infinite and none are NaN. isInfinite() - Method in class org.apache.commons.math3.linear.OpenMapRealVector Check whether any coordinate of this vector is infinite and none are NaN. isInfinite() - Method in class org.apache.commons.math3.linear.RealVector Check whether any coordinate of this vector is infinite and none are NaN. isInfinite() - Method in class org.apache.commons.math3.util.Decimal64 Returns true if this double precision number is infinite (Double.POSITIVE_INFINITY or Double.NEGATIVE_INFINITY). isLastStep() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator Check if this step is the last one. isLastStep - Variable in class org.apache.commons.math3.ode.AbstractIntegrator Indicator for last step. isLoaded() - Method in class org.apache.commons.math3.random.EmpiricalDistribution Property indicating whether or not the distribution has been loaded. isMonotonic(T[], MathArrays.OrderDirection, boolean) - Static method in class org.apache.commons.math3.util.MathArrays Check that an array is monotonically increasing or decreasing. isMonotonic(double[], MathArrays.OrderDirection, boolean) - Static method in class org.apache.commons.math3.util.MathArrays Check that an array is monotonically increasing or decreasing. isNaN() - Method in class org.apache.commons.math3.complex.Complex Checks whether either or both parts of this complex number is NaN. isNaN() - Method in class org.apache.commons.math3.dfp.Dfp Check if instance is not a number. isNaN() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D Returns true if any coordinate of this point is NaN; false otherwise isNaN() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Returns true if any coordinate of this vector is NaN; false otherwise isNaN() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Returns true if any coordinate of this point is NaN; false otherwise isNaN() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Returns true if any coordinate of this point is NaN; false otherwise isNaN() - Method in interface org.apache.commons.math3.geometry.Point Returns true if any coordinate of this point is NaN; false otherwise isNaN() - Method in class org.apache.commons.math3.geometry.spherical.oned.S1Point Returns true if any coordinate of this point is NaN; false otherwise isNaN() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point Returns true if any coordinate of this point is NaN; false otherwise isNaN() - Method in class org.apache.commons.math3.linear.ArrayRealVector Check if any coordinate of this vector is NaN. isNaN() - Method in class org.apache.commons.math3.linear.OpenMapRealVector Check whether any coordinate of this vector is NaN. isNaN() - Method in class org.apache.commons.math3.linear.RealVector Check whether any coordinate of this vector is NaN. isNaN() - Method in class org.apache.commons.math3.util.Decimal64 Returns true if this double precision number is Not-a-Number (NaN), false otherwise. isNoIntercept() - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression isNonSingular() - Method in interface org.apache.commons.math3.linear.DecompositionSolver Check if the decomposed matrix is non-singular. isNonSingular() - Method in interface org.apache.commons.math3.linear.FieldDecompositionSolver Check if the decomposed matrix is non-singular. isParallelTo(Line) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line Check the instance is parallel to another line. isPowerOfTwo(long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils Returns true if the argument is a power of two. isPrime(int) - Static method in class org.apache.commons.math3.primes.Primes Primality test: tells if the argument is a (provable) prime or not. isPureQuaternion(double) - Method in class org.apache.commons.math3.complex.Quaternion Checks whether the instance is a pure quaternion within a given tolerance. isRandomStart() - Method in class org.apache.commons.math3.genetics.CycleCrossover Returns whether the starting index is chosen randomly or set to zero. isRestrictedToNonNegative() - Method in class org.apache.commons.math3.optim.linear.LinearOptimizer isRestrictedToNonNegative() - Method in class org.apache.commons.math3.optim.linear.NonNegativeConstraint Indicates whether all the variables must be restricted to non-negative values. isSame(Chromosome) - Method in class org.apache.commons.math3.genetics.BinaryChromosome Returns true iff another has the same representation and therefore the same fitness. isSame(Chromosome) - Method in class org.apache.commons.math3.genetics.Chromosome Returns true iff another has the same representation and therefore the same fitness. isSame(Chromosome) - Method in class org.apache.commons.math3.genetics.RandomKey Returns true iff another is a RandomKey and encodes the same permutation. isSatisfied(Population) - Method in class org.apache.commons.math3.genetics.FixedElapsedTime Determine whether or not the maximum allowed time has passed. isSatisfied(Population) - Method in class org.apache.commons.math3.genetics.FixedGenerationCount Determine whether or not the given number of generations have passed. isSatisfied(Population) - Method in interface org.apache.commons.math3.genetics.StoppingCondition Determine whether or not the given population satisfies the stopping condition. isSequence(double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver Check whether the arguments form a (strictly) increasing sequence. isSequence(double, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils Check whether the arguments form a (strictly) increasing sequence. isSimilarTo(Line) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line Check if the instance is similar to another line. isSimilarTo(Plane) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane Check if the instance is similar to another plane. isSingular(double) - Method in class org.apache.commons.math3.linear.DiagonalMatrix Returns whether this diagonal matrix is singular, i.e. isSolutionOptimal() - Method in class org.apache.commons.math3.optim.linear.SolutionCallback Returns if the found solution is optimal. isSquare() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Is this a square matrix? isSquare() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Is this a square matrix? isSquare() - Method in interface org.apache.commons.math3.linear.AnyMatrix Is this a square matrix? isSupportConnected() - Method in class org.apache.commons.math3.distribution.BetaDistribution Use this method to get information about whether the support is connected, i.e. isSupportConnected() - Method in class org.apache.commons.math3.distribution.BinomialDistribution Use this method to get information about whether the support is connected, i.e. isSupportConnected() - Method in class org.apache.commons.math3.distribution.CauchyDistribution Use this method to get information about whether the support is connected, i.e. isSupportConnected() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution Use this method to get information about whether the support is connected, i.e. isSupportConnected() - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution Use this method to get information about whether the support is connected, i.e. isSupportConnected() - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution Use this method to get information about whether the support is connected, i.e. isSupportConnected() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution Use this method to get information about whether the support is connected, i.e. isSupportConnected() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution Use this method to get information about whether the support is connected, i.e. isSupportConnected() - Method in class org.apache.commons.math3.distribution.FDistribution Use this method to get information about whether the support is connected, i.e. isSupportConnected() - Method in class org.apache.commons.math3.distribution.GammaDistribution Use this method to get information about whether the support is connected, i.e. isSupportConnected() - Method in class org.apache.commons.math3.distribution.GeometricDistribution Use this method to get information about whether the support is connected, i.e. isSupportConnected() - Method in class org.apache.commons.math3.distribution.GumbelDistribution Use this method to get information about whether the support is connected, i.e. isSupportConnected() - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution Use this method to get information about whether the support is connected, i.e. isSupportConnected() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution Use this method to get information about whether the support is connected, i.e. isSupportConnected() - Method in class org.apache.commons.math3.distribution.LaplaceDistribution Use this method to get information about whether the support is connected, i.e. isSupportConnected() - Method in class org.apache.commons.math3.distribution.LevyDistribution Use this method to get information about whether the support is connected, i.e. isSupportConnected() - Method in class org.apache.commons.math3.distribution.LogisticDistribution Use this method to get information about whether the support is connected, i.e. isSupportConnected() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution Use this method to get information about whether the support is connected, i.e. isSupportConnected() - Method in class org.apache.commons.math3.distribution.NakagamiDistribution Use this method to get information about whether the support is connected, i.e. isSupportConnected() - Method in class org.apache.commons.math3.distribution.NormalDistribution Use this method to get information about whether the support is connected, i.e. isSupportConnected() - Method in class org.apache.commons.math3.distribution.ParetoDistribution Use this method to get information about whether the support is connected, i.e. isSupportConnected() - Method in class org.apache.commons.math3.distribution.PascalDistribution Use this method to get information about whether the support is connected, i.e. isSupportConnected() - Method in class org.apache.commons.math3.distribution.PoissonDistribution Use this method to get information about whether the support is connected, i.e. isSupportConnected() - Method in interface org.apache.commons.math3.distribution.RealDistribution Use this method to get information about whether the support is connected, i.e. isSupportConnected() - Method in class org.apache.commons.math3.distribution.TDistribution Use this method to get information about whether the support is connected, i.e. isSupportConnected() - Method in class org.apache.commons.math3.distribution.TriangularDistribution Use this method to get information about whether the support is connected, i.e. isSupportConnected() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution Use this method to get information about whether the support is connected, i.e. isSupportConnected() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution Use this method to get information about whether the support is connected, i.e. isSupportConnected() - Method in class org.apache.commons.math3.distribution.WeibullDistribution Use this method to get information about whether the support is connected, i.e. isSupportConnected() - Method in class org.apache.commons.math3.distribution.ZipfDistribution Use this method to get information about whether the support is connected, i.e. isSupportConnected() - Method in class org.apache.commons.math3.random.EmpiricalDistribution Use this method to get information about whether the support is connected, i.e. isSupported(String) - Method in class org.apache.commons.math3.ode.AbstractParameterizable Check if a parameter is supported. isSupported(String) - Method in interface org.apache.commons.math3.ode.Parameterizable Check if a parameter is supported. isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.BetaDistribution Whether or not the lower bound of support is in the domain of the density function. isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.CauchyDistribution Whether or not the lower bound of support is in the domain of the density function. isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution Whether or not the lower bound of support is in the domain of the density function. isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution Whether or not the lower bound of support is in the domain of the density function. isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution Whether or not the lower bound of support is in the domain of the density function. isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution Whether or not the lower bound of support is in the domain of the density function. isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.FDistribution Whether or not the lower bound of support is in the domain of the density function. isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.GammaDistribution Whether or not the lower bound of support is in the domain of the density function. isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.GumbelDistribution Whether or not the lower bound of support is in the domain of the density function. isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.LaplaceDistribution Whether or not the lower bound of support is in the domain of the density function. isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.LevyDistribution Whether or not the lower bound of support is in the domain of the density function. isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.LogisticDistribution Whether or not the lower bound of support is in the domain of the density function. isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution Whether or not the lower bound of support is in the domain of the density function. isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.NakagamiDistribution Whether or not the lower bound of support is in the domain of the density function. isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.NormalDistribution Whether or not the lower bound of support is in the domain of the density function. isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.ParetoDistribution Whether or not the lower bound of support is in the domain of the density function. isSupportLowerBoundInclusive() - Method in interface org.apache.commons.math3.distribution.RealDistribution Deprecated. to be removed in 4.0 isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.TDistribution Whether or not the lower bound of support is in the domain of the density function. isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.TriangularDistribution Whether or not the lower bound of support is in the domain of the density function. isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution Whether or not the lower bound of support is in the domain of the density function. isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.distribution.WeibullDistribution Whether or not the lower bound of support is in the domain of the density function. isSupportLowerBoundInclusive() - Method in class org.apache.commons.math3.random.EmpiricalDistribution Whether or not the lower bound of support is in the domain of the density function. isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.BetaDistribution Whether or not the upper bound of support is in the domain of the density function. isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.CauchyDistribution Whether or not the upper bound of support is in the domain of the density function. isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution Whether or not the upper bound of support is in the domain of the density function. isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution Whether or not the upper bound of support is in the domain of the density function. isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution Whether or not the upper bound of support is in the domain of the density function. isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution Whether or not the upper bound of support is in the domain of the density function. isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.FDistribution Whether or not the upper bound of support is in the domain of the density function. isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.GammaDistribution Whether or not the upper bound of support is in the domain of the density function. isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.GumbelDistribution Whether or not the upper bound of support is in the domain of the density function. isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.LaplaceDistribution Whether or not the upper bound of support is in the domain of the density function. isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.LevyDistribution Whether or not the upper bound of support is in the domain of the density function. isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.LogisticDistribution Whether or not the upper bound of support is in the domain of the density function. isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution Whether or not the upper bound of support is in the domain of the density function. isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.NakagamiDistribution Whether or not the upper bound of support is in the domain of the density function. isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.NormalDistribution Whether or not the upper bound of support is in the domain of the density function. isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.ParetoDistribution Whether or not the upper bound of support is in the domain of the density function. isSupportUpperBoundInclusive() - Method in interface org.apache.commons.math3.distribution.RealDistribution Deprecated. to be removed in 4.0 isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.TDistribution Whether or not the upper bound of support is in the domain of the density function. isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.TriangularDistribution Whether or not the upper bound of support is in the domain of the density function. isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution Whether or not the upper bound of support is in the domain of the density function. isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.distribution.WeibullDistribution Whether or not the upper bound of support is in the domain of the density function. isSupportUpperBoundInclusive() - Method in class org.apache.commons.math3.random.EmpiricalDistribution Whether or not the upper bound of support is in the domain of the density function. isSymmetric(RealMatrix, double) - Static method in class org.apache.commons.math3.linear.MatrixUtils Checks whether a matrix is symmetric. isTransposable() - Method in class org.apache.commons.math3.linear.RealLinearOperator Returns true if this operator supports RealLinearOperator.operateTranspose(RealVector). isUnitQuaternion(double) - Method in class org.apache.commons.math3.complex.Quaternion Checks whether the instance is a unit quaternion within a given tolerance. isValidPoint(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicInterpolatingFunction Indicates whether a point is within the interpolation range. isValidPoint(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction Deprecated. Indicates whether a point is within the interpolation range. isValidPoint(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.PiecewiseBicubicSplineInterpolatingFunction Indicates whether a point is within the interpolation range. isValidPoint(double, double, double) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicInterpolatingFunction Indicates whether a point is within the interpolation range. isValidPoint(double) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction Indicates whether a point is within the interpolation range. isZero() - Method in class org.apache.commons.math3.dfp.Dfp Check if instance is equal to zero. iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex Compute the next simplex of the algorithm. iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex Compute the next simplex of the algorithm. iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex Compute the next simplex of the algorithm. iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex Deprecated. Compute the next simplex of the algorithm. iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex Deprecated. Compute the next simplex of the algorithm. iterate(MultivariateFunction, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.NelderMeadSimplex Deprecated. Compute the next simplex of the algorithm. IterationEvent - Class in org.apache.commons.math3.util The root class from which all events occurring while running an IterationManager should be derived. IterationEvent(Object, int) - Constructor for class org.apache.commons.math3.util.IterationEvent Creates a new instance of this class. IterationListener - Interface in org.apache.commons.math3.util The listener interface for receiving events occurring in an iterative algorithm. IterationManager - Class in org.apache.commons.math3.util This abstract class provides a general framework for managing iterative algorithms. IterationManager(int) - Constructor for class org.apache.commons.math3.util.IterationManager Creates a new instance of this class. IterationManager(int, Incrementor.MaxCountExceededCallback) - Constructor for class org.apache.commons.math3.util.IterationManager Deprecated. as of 3.6, replaced with IterationManager.IterationManager(int, org.apache.commons.math3.util.IntegerSequence.Incrementor.MaxCountExceededCallback) IterationManager(int, IntegerSequence.Incrementor.MaxCountExceededCallback) - Constructor for class org.apache.commons.math3.util.IterationManager Creates a new instance of this class. iterationPerformed(IterationEvent) - Method in interface org.apache.commons.math3.util.IterationListener Invoked each time an iteration is completed (in the main iteration loop). iterations - Variable in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator Deprecated. as of 3.6, this field has been replaced with BaseAbstractUnivariateIntegrator.incrementCount() iterations - Variable in class org.apache.commons.math3.optim.BaseOptimizer Iterations counter. iterationStarted(IterationEvent) - Method in interface org.apache.commons.math3.util.IterationListener Invoked each time a new iteration is completed (in the main iteration loop). IterativeLegendreGaussIntegrator - Class in org.apache.commons.math3.analysis.integration This algorithm divides the integration interval into equally-sized sub-interval and on each of them performs a Legendre-Gauss quadrature. IterativeLegendreGaussIntegrator(int, double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator Builds an integrator with given accuracies and iterations counts. IterativeLegendreGaussIntegrator(int, double, double) - Constructor for class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator Builds an integrator with given accuracies. IterativeLegendreGaussIntegrator(int, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator Builds an integrator with given iteration counts. IterativeLinearSolver - Class in org.apache.commons.math3.linear This abstract class defines an iterative solver for the linear system A · x = b. IterativeLinearSolver(int) - Constructor for class org.apache.commons.math3.linear.IterativeLinearSolver Creates a new instance of this class, with default iteration manager. IterativeLinearSolver(IterationManager) - Constructor for class org.apache.commons.math3.linear.IterativeLinearSolver Creates a new instance of this class, with custom iteration manager. IterativeLinearSolverEvent - Class in org.apache.commons.math3.linear This is the base class for all events occurring during the iterations of a IterativeLinearSolver. IterativeLinearSolverEvent(Object, int) - Constructor for class org.apache.commons.math3.linear.IterativeLinearSolverEvent Creates a new instance of this class. iterator() - Method in class org.apache.commons.math3.genetics.ListPopulation Returns an iterator over the unmodifiable list of chromosomes. iterator() - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet iterator() - Method in class org.apache.commons.math3.geometry.partitioning.NodesSet iterator() - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet iterator() - Method in class org.apache.commons.math3.linear.RealVector Generic dense iterator. iterator() - Method in class org.apache.commons.math3.ml.neuralnet.Network iterator() - Method in class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D iterator() - Method in class org.apache.commons.math3.util.Combinations iterator() - Method in class org.apache.commons.math3.util.IntegerSequence.Range iterator() - Method in class org.apache.commons.math3.util.MultidimensionalCounter Create an iterator over this counter. iterator() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap Get an iterator over map elements. iterator() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap Get an iterator over map elements. J J - Static variable in class org.apache.commons.math3.complex.Quaternion j jacobian() - Method in interface org.apache.commons.math3.analysis.DifferentiableMultivariateVectorFunction Deprecated. Returns the jacobian function. JacobianFunction - Class in org.apache.commons.math3.analysis.differentiation Class representing the Jacobian of a multivariate vector function. JacobianFunction(MultivariateDifferentiableVectorFunction) - Constructor for class org.apache.commons.math3.analysis.differentiation.JacobianFunction Simple constructor. JacobianMatrices - Class in org.apache.commons.math3.ode This class defines a set of secondary equations to compute the Jacobian matrices with respect to the initial state vector and, if any, to some parameters of the primary ODE set. JacobianMatrices(FirstOrderDifferentialEquations, double[], String...) - Constructor for class org.apache.commons.math3.ode.JacobianMatrices Simple constructor for a secondary equations set computing Jacobian matrices. JacobianMatrices(MainStateJacobianProvider, String...) - Constructor for class org.apache.commons.math3.ode.JacobianMatrices Simple constructor for a secondary equations set computing Jacobian matrices. JacobianMatrices.MismatchedEquations - Exception in org.apache.commons.math3.ode Special exception for equations mismatch. JacobianMatrices.MismatchedEquations() - Constructor for exception org.apache.commons.math3.ode.JacobianMatrices.MismatchedEquations Simple constructor. JacobianMultivariateVectorOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector Deprecated. All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the org.apache.commons.math3.fitting.leastsquares package (cf. MATH-1008). JacobianMultivariateVectorOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.JacobianMultivariateVectorOptimizer Deprecated. JacobiPreconditioner - Class in org.apache.commons.math3.linear This class implements the standard Jacobi (diagonal) preconditioner. JacobiPreconditioner(double[], boolean) - Constructor for class org.apache.commons.math3.linear.JacobiPreconditioner Creates a new instance of this class. JDKRandomGenerator - Class in org.apache.commons.math3.random Extension of java.util.Random to implement RandomGenerator. JDKRandomGenerator() - Constructor for class org.apache.commons.math3.random.JDKRandomGenerator Create a new JDKRandomGenerator with a default seed. JDKRandomGenerator(int) - Constructor for class org.apache.commons.math3.random.JDKRandomGenerator Create a new JDKRandomGenerator with the given seed. K K - Static variable in class org.apache.commons.math3.complex.Quaternion k KalmanFilter - Class in org.apache.commons.math3.filter Implementation of a Kalman filter to estimate the state x_k of a discrete-time controlled process that is governed by the linear stochastic difference equation: KalmanFilter(ProcessModel, MeasurementModel) - Constructor for class org.apache.commons.math3.filter.KalmanFilter Creates a new Kalman filter with the given process and measurement models. KendallsCorrelation - Class in org.apache.commons.math3.stat.correlation Implementation of Kendall's Tau-b rank correlation. KendallsCorrelation() - Constructor for class org.apache.commons.math3.stat.correlation.KendallsCorrelation Create a KendallsCorrelation instance without data. KendallsCorrelation(double[][]) - Constructor for class org.apache.commons.math3.stat.correlation.KendallsCorrelation Create a KendallsCorrelation from a rectangular array whose columns represent values of variables to be correlated. KendallsCorrelation(RealMatrix) - Constructor for class org.apache.commons.math3.stat.correlation.KendallsCorrelation Create a KendallsCorrelation from a RealMatrix whose columns represent variables to be correlated. key() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator Get the key of current entry. key() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator Get the key of current entry. KMeansPlusPlusClusterer<T extends Clusterable> - Class in org.apache.commons.math3.ml.clustering Clustering algorithm based on David Arthur and Sergei Vassilvitski k-means++ algorithm. KMeansPlusPlusClusterer(int) - Constructor for class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer Build a clusterer. KMeansPlusPlusClusterer(int, int) - Constructor for class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer Build a clusterer. KMeansPlusPlusClusterer(int, int, DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer Build a clusterer. KMeansPlusPlusClusterer(int, int, DistanceMeasure, RandomGenerator) - Constructor for class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer Build a clusterer. KMeansPlusPlusClusterer(int, int, DistanceMeasure, RandomGenerator, KMeansPlusPlusClusterer.EmptyClusterStrategy) - Constructor for class org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer Build a clusterer. KMeansPlusPlusClusterer<T extends Clusterable<T>> - Class in org.apache.commons.math3.stat.clustering Deprecated. As of 3.2 (to be removed in 4.0), use KMeansPlusPlusClusterer instead KMeansPlusPlusClusterer(Random) - Constructor for class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer Deprecated. Build a clusterer. KMeansPlusPlusClusterer(Random, KMeansPlusPlusClusterer.EmptyClusterStrategy) - Constructor for class org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer Deprecated. Build a clusterer. KMeansPlusPlusClusterer.EmptyClusterStrategy - Enum in org.apache.commons.math3.ml.clustering Strategies to use for replacing an empty cluster. KMeansPlusPlusClusterer.EmptyClusterStrategy - Enum in org.apache.commons.math3.stat.clustering Deprecated. Strategies to use for replacing an empty cluster. KohonenTrainingTask - Class in org.apache.commons.math3.ml.neuralnet.sofm Trainer for Kohonen's Self-Organizing Map. KohonenTrainingTask(Network, Iterator<double[]>, KohonenUpdateAction) - Constructor for class org.apache.commons.math3.ml.neuralnet.sofm.KohonenTrainingTask Creates a (sequential) trainer for the given network. KohonenUpdateAction - Class in org.apache.commons.math3.ml.neuralnet.sofm Update formula for Kohonen's Self-Organizing Map. KohonenUpdateAction(DistanceMeasure, LearningFactorFunction, NeighbourhoodSizeFunction) - Constructor for class org.apache.commons.math3.ml.neuralnet.sofm.KohonenUpdateAction KolmogorovSmirnovDistribution - Class in org.apache.commons.math3.distribution Deprecated. to be removed in version 4.0 - use KolmogorovSmirnovTest KolmogorovSmirnovDistribution(int) - Constructor for class org.apache.commons.math3.distribution.KolmogorovSmirnovDistribution Deprecated. kolmogorovSmirnovStatistic(RealDistribution, double[]) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest Computes the one-sample Kolmogorov-Smirnov test statistic, $D_n=\sup_x |F_n(x)-F(x)|$ where $F$ is the distribution (cdf) function associated with distribution, $n$ is the length of data and $F_n$ is the empirical distribution that puts mass $1/n$ at each of the values in data. kolmogorovSmirnovStatistic(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest Computes the two-sample Kolmogorov-Smirnov test statistic, $D_{n,m}=\sup_x |F_n(x)-F_m(x)|$ where $n$ is the length of x, $m$ is the length of y, $F_n$ is the empirical distribution that puts mass $1/n$ at each of the values in x and $F_m$ is the empirical distribution of the y values. kolmogorovSmirnovStatistic(RealDistribution, double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils kolmogorovSmirnovStatistic(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils KolmogorovSmirnovTest - Class in org.apache.commons.math3.stat.inference Implementation of the Kolmogorov-Smirnov (K-S) test for equality of continuous distributions. KolmogorovSmirnovTest() - Constructor for class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest Construct a KolmogorovSmirnovTest instance with a default random data generator. KolmogorovSmirnovTest(RandomGenerator) - Constructor for class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest Deprecated. kolmogorovSmirnovTest(RealDistribution, double[], boolean) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest Computes the p-value, or observed significance level, of a one-sample Kolmogorov-Smirnov test evaluating the null hypothesis that data conforms to distribution. kolmogorovSmirnovTest(double[], double[], boolean) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest Computes the p-value, or observed significance level, of a two-sample Kolmogorov-Smirnov test evaluating the null hypothesis that x and y are samples drawn from the same probability distribution. kolmogorovSmirnovTest(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest Computes the p-value, or observed significance level, of a two-sample Kolmogorov-Smirnov test evaluating the null hypothesis that x and y are samples drawn from the same probability distribution. kolmogorovSmirnovTest(RealDistribution, double[]) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest Computes the p-value, or observed significance level, of a one-sample Kolmogorov-Smirnov test evaluating the null hypothesis that data conforms to distribution. kolmogorovSmirnovTest(RealDistribution, double[], double) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest Performs a Kolmogorov-Smirnov test evaluating the null hypothesis that data conforms to distribution. kolmogorovSmirnovTest(RealDistribution, double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils kolmogorovSmirnovTest(RealDistribution, double[], boolean) - Static method in class org.apache.commons.math3.stat.inference.TestUtils kolmogorovSmirnovTest(RealDistribution, double[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils kolmogorovSmirnovTest(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils kolmogorovSmirnovTest(double[], double[], boolean) - Static method in class org.apache.commons.math3.stat.inference.TestUtils KS_SUM_CAUCHY_CRITERION - Static variable in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest Convergence criterion for KolmogorovSmirnovTest.ksSum(double, double, int) ksSum(double, double, int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest Computes $ 1 + 2 \sum_{i=1}^\infty (-1)^i e^{-2 i^2 t^2} $ stopping when successive partial sums are within tolerance of one another, or when maxIterations partial sums have been computed. KthSelector - Class in org.apache.commons.math3.util A Simple K^th selector implementation to pick up the K^th ordered element from a work array containing the input numbers. KthSelector() - Constructor for class org.apache.commons.math3.util.KthSelector Constructor with default median of 3 pivoting strategy KthSelector(PivotingStrategyInterface) - Constructor for class org.apache.commons.math3.util.KthSelector Constructor with specified pivoting strategy Kurtosis - Class in org.apache.commons.math3.stat.descriptive.moment Computes the Kurtosis of the available values. Kurtosis() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Kurtosis Construct a Kurtosis Kurtosis(FourthMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Kurtosis Construct a Kurtosis from an external moment Kurtosis(Kurtosis) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Kurtosis Copy constructor, creates a new Kurtosis identical to the original L laguerre(double, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver Deprecated. This method should not be part of the public API: It will be made private in version 4.0. LaguerreSolver - Class in org.apache.commons.math3.analysis.solvers Implements the Laguerre's Method for root finding of real coefficient polynomials. LaguerreSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.LaguerreSolver Construct a solver with default accuracy (1e-6). LaguerreSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.LaguerreSolver Construct a solver. LaguerreSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.LaguerreSolver Construct a solver. LaguerreSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.LaguerreSolver Construct a solver. lanczos(double) - Static method in class org.apache.commons.math3.special.Gamma Returns the Lanczos approximation used to compute the gamma function. LANCZOS_G - Static variable in class org.apache.commons.math3.special.Gamma The value of the g constant in the Lanczos approximation, see Gamma.lanczos(double). LaplaceDistribution - Class in org.apache.commons.math3.distribution This class implements the Laplace distribution. LaplaceDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.LaplaceDistribution Build a new instance. LaplaceDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.LaplaceDistribution Build a new instance. LARGE_SAMPLE_PRODUCT - Static variable in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest When product of sample sizes exceeds this value, 2-sample K-S test uses asymptotic distribution to compute the p-value. lastIncluded() - Method in enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds Returns a value indicating whether the last point should be passed to the underlying fixed step size step handler. lazyEvaluation(boolean) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder Configure whether evaluation will be lazy or not. lcm(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils Returns the least common multiple of the absolute value of two numbers, using the formula lcm(a,b) = (a / gcd(a,b)) * b. lcm(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils Returns the least common multiple of the absolute value of two numbers, using the formula lcm(a,b) = (a / gcd(a,b)) * b. LearningFactorFunction - Interface in org.apache.commons.math3.ml.neuralnet.sofm Provides the learning rate as a function of the number of calls already performed during the learning task. LearningFactorFunctionFactory - Class in org.apache.commons.math3.ml.neuralnet.sofm Factory for creating instances of LearningFactorFunction. LeastSquaresAdapter - Class in org.apache.commons.math3.fitting.leastsquares An adapter that delegates to another implementation of LeastSquaresProblem. LeastSquaresAdapter(LeastSquaresProblem) - Constructor for class org.apache.commons.math3.fitting.leastsquares.LeastSquaresAdapter Delegate the LeastSquaresProblem interface to the given implementation. LeastSquaresBuilder - Class in org.apache.commons.math3.fitting.leastsquares A mutable builder for LeastSquaresProblems. LeastSquaresBuilder() - Constructor for class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder LeastSquaresConverter - Class in org.apache.commons.math3.optim.nonlinear.scalar This class converts vectorial objective functions to scalar objective functions when the goal is to minimize them. LeastSquaresConverter(MultivariateVectorFunction, double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.LeastSquaresConverter Builds a simple converter for uncorrelated residuals with identical weights. LeastSquaresConverter(MultivariateVectorFunction, double[], double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.LeastSquaresConverter Builds a simple converter for uncorrelated residuals with the specified weights. LeastSquaresConverter(MultivariateVectorFunction, double[], RealMatrix) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.LeastSquaresConverter Builds a simple converter for correlated residuals with the specified weights. LeastSquaresConverter - Class in org.apache.commons.math3.optimization Deprecated. As of 3.1 (to be removed in 4.0). LeastSquaresConverter(MultivariateVectorFunction, double[]) - Constructor for class org.apache.commons.math3.optimization.LeastSquaresConverter Deprecated. Build a simple converter for uncorrelated residuals with the same weight. LeastSquaresConverter(MultivariateVectorFunction, double[], double[]) - Constructor for class org.apache.commons.math3.optimization.LeastSquaresConverter Deprecated. Build a simple converter for uncorrelated residuals with the specific weights. LeastSquaresConverter(MultivariateVectorFunction, double[], RealMatrix) - Constructor for class org.apache.commons.math3.optimization.LeastSquaresConverter Deprecated. Build a simple converter for correlated residuals with the specific weights. LeastSquaresFactory - Class in org.apache.commons.math3.fitting.leastsquares A Factory for creating LeastSquaresProblems. LeastSquaresOptimizer - Interface in org.apache.commons.math3.fitting.leastsquares An algorithm that can be applied to a non-linear least squares problem. LeastSquaresOptimizer.Optimum - Interface in org.apache.commons.math3.fitting.leastsquares The optimum found by the optimizer. LeastSquaresProblem - Interface in org.apache.commons.math3.fitting.leastsquares The data necessary to define a non-linear least squares problem. LeastSquaresProblem.Evaluation - Interface in org.apache.commons.math3.fitting.leastsquares An evaluation of a LeastSquaresProblem at a particular point. legendre(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory Creates a Gauss-Legendre integrator of the given order. legendre(int, double, double) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory Creates a Gauss-Legendre integrator of the given order. LegendreGaussIntegrator - Class in org.apache.commons.math3.analysis.integration Deprecated. As of 3.1 (to be removed in 4.0). Please use IterativeLegendreGaussIntegrator instead. LegendreGaussIntegrator(int, double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator Deprecated. Build a Legendre-Gauss integrator with given accuracies and iterations counts. LegendreGaussIntegrator(int, double, double) - Constructor for class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator Deprecated. Build a Legendre-Gauss integrator with given accuracies. LegendreGaussIntegrator(int, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.LegendreGaussIntegrator Deprecated. Build a Legendre-Gauss integrator with given iteration counts. legendreHighPrecision(int) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory Creates a Gauss-Legendre integrator of the given order. legendreHighPrecision(int, double, double) - Method in class org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory Creates an integrator of the given order, and whose call to the integrate method will perform an integration on the given interval. LegendreHighPrecisionRuleFactory - Class in org.apache.commons.math3.analysis.integration.gauss Factory that creates Gauss-type quadrature rule using Legendre polynomials. LegendreHighPrecisionRuleFactory() - Constructor for class org.apache.commons.math3.analysis.integration.gauss.LegendreHighPrecisionRuleFactory Default precision is DECIMAL128. LegendreHighPrecisionRuleFactory(MathContext) - Constructor for class org.apache.commons.math3.analysis.integration.gauss.LegendreHighPrecisionRuleFactory LegendreRuleFactory - Class in org.apache.commons.math3.analysis.integration.gauss Factory that creates Gauss-type quadrature rule using Legendre polynomials. LegendreRuleFactory() - Constructor for class org.apache.commons.math3.analysis.integration.gauss.LegendreRuleFactory lessThan(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp Check if instance is less than x. LevenbergMarquardtOptimizer - Class in org.apache.commons.math3.fitting.leastsquares This class solves a least-squares problem using the Levenberg-Marquardt algorithm. LevenbergMarquardtOptimizer() - Constructor for class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer Default constructor. LevenbergMarquardtOptimizer(double, double, double, double, double) - Constructor for class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer Construct an instance with all parameters specified. LevenbergMarquardtOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector.jacobian Deprecated. All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the org.apache.commons.math3.fitting.leastsquares package (cf. MATH-1008). LevenbergMarquardtOptimizer() - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer Deprecated. Build an optimizer for least squares problems with default values for all the tuning parameters (see the other contructor. LevenbergMarquardtOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer Deprecated. Constructor that allows the specification of a custom convergence checker. LevenbergMarquardtOptimizer(double, ConvergenceChecker<PointVectorValuePair>, double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer Deprecated. Constructor that allows the specification of a custom convergence checker, in addition to the standard ones. LevenbergMarquardtOptimizer(double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer Deprecated. Build an optimizer for least squares problems with default values for some of the tuning parameters (see the other contructor. LevenbergMarquardtOptimizer(double, double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.jacobian.LevenbergMarquardtOptimizer Deprecated. The arguments control the behaviour of the default convergence checking procedure. LevenbergMarquardtOptimizer - Class in org.apache.commons.math3.optimization.general Deprecated. As of 3.1 (to be removed in 4.0). LevenbergMarquardtOptimizer() - Constructor for class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer Deprecated. Build an optimizer for least squares problems with default values for all the tuning parameters (see the other contructor. LevenbergMarquardtOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer Deprecated. Constructor that allows the specification of a custom convergence checker. LevenbergMarquardtOptimizer(double, ConvergenceChecker<PointVectorValuePair>, double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer Deprecated. Constructor that allows the specification of a custom convergence checker, in addition to the standard ones. LevenbergMarquardtOptimizer(double, double, double) - Constructor for class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer Deprecated. Build an optimizer for least squares problems with default values for some of the tuning parameters (see the other contructor. LevenbergMarquardtOptimizer(double, double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.general.LevenbergMarquardtOptimizer Deprecated. The arguments control the behaviour of the default convergence checking procedure. LevyDistribution - Class in org.apache.commons.math3.distribution This class implements the Lévy distribution. LevyDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.LevyDistribution Build a new instance. LevyDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.LevyDistribution Creates a LevyDistribution. LimitAngle - Class in org.apache.commons.math3.geometry.spherical.oned This class represents a 1D oriented hyperplane on the circle. LimitAngle(S1Point, boolean, double) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.LimitAngle Simple constructor. Line - Class in org.apache.commons.math3.geometry.euclidean.threed The class represent lines in a three dimensional space. Line(Vector3D, Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Line Build a line from two points. Line(Line) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Line Copy constructor. Line(Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Line Deprecated. as of 3.3, replaced with Line.Line(Vector3D, Vector3D, double) Line - Class in org.apache.commons.math3.geometry.euclidean.twod This class represents an oriented line in the 2D plane. Line(Vector2D, Vector2D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Line Build a line from two points. Line(Vector2D, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Line Build a line from a point and an angle. Line(Vector2D, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Line Deprecated. as of 3.3, replaced with Line.Line(Vector2D, Vector2D, double) Line(Vector2D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Line Deprecated. as of 3.3, replaced with Line.Line(Vector2D, double, double) Line(Line) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Line Copy constructor. linearCombination(DerivativeStructure[], DerivativeStructure[]) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Compute a linear combination. linearCombination(double[], DerivativeStructure[]) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Compute a linear combination. linearCombination(DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Compute a linear combination. linearCombination(double, DerivativeStructure, double, DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Compute a linear combination. linearCombination(DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Compute a linear combination. linearCombination(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Compute a linear combination. linearCombination(DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure, DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Compute a linear combination. linearCombination(double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure, double, DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Compute a linear combination. linearCombination(double, double[], int, double, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Compute linear combination. linearCombination(double, double[], int, double, double[], int, double, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Compute linear combination. linearCombination(double, double[], int, double, double[], int, double, double[], int, double, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Compute linear combination. linearCombination(SparseGradient[], SparseGradient[]) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Compute a linear combination. linearCombination(double[], SparseGradient[]) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Compute a linear combination. linearCombination(SparseGradient, SparseGradient, SparseGradient, SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Compute a linear combination. linearCombination(double, SparseGradient, double, SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Compute a linear combination. linearCombination(SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Compute a linear combination. linearCombination(double, SparseGradient, double, SparseGradient, double, SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Compute a linear combination. linearCombination(SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient, SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Compute a linear combination. linearCombination(double, SparseGradient, double, SparseGradient, double, SparseGradient, double, SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Compute a linear combination. linearCombination(Dfp[], Dfp[]) - Method in class org.apache.commons.math3.dfp.Dfp Compute a linear combination. linearCombination(double[], Dfp[]) - Method in class org.apache.commons.math3.dfp.Dfp Compute a linear combination. linearCombination(Dfp, Dfp, Dfp, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp Compute a linear combination. linearCombination(double, Dfp, double, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp Compute a linear combination. linearCombination(Dfp, Dfp, Dfp, Dfp, Dfp, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp Compute a linear combination. linearCombination(double, Dfp, double, Dfp, double, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp Compute a linear combination. linearCombination(Dfp, Dfp, Dfp, Dfp, Dfp, Dfp, Dfp, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp Compute a linear combination. linearCombination(double, Dfp, double, Dfp, double, Dfp, double, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp Compute a linear combination. linearCombination(T[], T[]) - Method in interface org.apache.commons.math3.RealFieldElement Compute a linear combination. linearCombination(double[], T[]) - Method in interface org.apache.commons.math3.RealFieldElement Compute a linear combination. linearCombination(T, T, T, T) - Method in interface org.apache.commons.math3.RealFieldElement Compute a linear combination. linearCombination(double, T, double, T) - Method in interface org.apache.commons.math3.RealFieldElement Compute a linear combination. linearCombination(T, T, T, T, T, T) - Method in interface org.apache.commons.math3.RealFieldElement Compute a linear combination. linearCombination(double, T, double, T, double, T) - Method in interface org.apache.commons.math3.RealFieldElement Compute a linear combination. linearCombination(T, T, T, T, T, T, T, T) - Method in interface org.apache.commons.math3.RealFieldElement Compute a linear combination. linearCombination(double, T, double, T, double, T, double, T) - Method in interface org.apache.commons.math3.RealFieldElement Compute a linear combination. linearCombination(Decimal64[], Decimal64[]) - Method in class org.apache.commons.math3.util.Decimal64 Compute a linear combination. linearCombination(double[], Decimal64[]) - Method in class org.apache.commons.math3.util.Decimal64 Compute a linear combination. linearCombination(Decimal64, Decimal64, Decimal64, Decimal64) - Method in class org.apache.commons.math3.util.Decimal64 Compute a linear combination. linearCombination(double, Decimal64, double, Decimal64) - Method in class org.apache.commons.math3.util.Decimal64 Compute a linear combination. linearCombination(Decimal64, Decimal64, Decimal64, Decimal64, Decimal64, Decimal64) - Method in class org.apache.commons.math3.util.Decimal64 Compute a linear combination. linearCombination(double, Decimal64, double, Decimal64, double, Decimal64) - Method in class org.apache.commons.math3.util.Decimal64 Compute a linear combination. linearCombination(Decimal64, Decimal64, Decimal64, Decimal64, Decimal64, Decimal64, Decimal64, Decimal64) - Method in class org.apache.commons.math3.util.Decimal64 Compute a linear combination. linearCombination(double, Decimal64, double, Decimal64, double, Decimal64, double, Decimal64) - Method in class org.apache.commons.math3.util.Decimal64 Compute a linear combination. linearCombination(double[], double[]) - Static method in class org.apache.commons.math3.util.MathArrays Compute a linear combination accurately. linearCombination(double, double, double, double) - Static method in class org.apache.commons.math3.util.MathArrays Compute a linear combination accurately. linearCombination(double, double, double, double, double, double) - Static method in class org.apache.commons.math3.util.MathArrays Compute a linear combination accurately. linearCombination(double, double, double, double, double, double, double, double) - Static method in class org.apache.commons.math3.util.MathArrays Compute a linear combination accurately. LinearConstraint - Class in org.apache.commons.math3.optim.linear A linear constraint for a linear optimization problem. LinearConstraint(double[], Relationship, double) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraint Build a constraint involving a single linear equation. LinearConstraint(RealVector, Relationship, double) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraint Build a constraint involving a single linear equation. LinearConstraint(double[], double, Relationship, double[], double) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraint Build a constraint involving two linear equations. LinearConstraint(RealVector, double, Relationship, RealVector, double) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraint Build a constraint involving two linear equations. LinearConstraint - Class in org.apache.commons.math3.optimization.linear Deprecated. As of 3.1 (to be removed in 4.0). LinearConstraint(double[], Relationship, double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearConstraint Deprecated. Build a constraint involving a single linear equation. LinearConstraint(RealVector, Relationship, double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearConstraint Deprecated. Build a constraint involving a single linear equation. LinearConstraint(double[], double, Relationship, double[], double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearConstraint Deprecated. Build a constraint involving two linear equations. LinearConstraint(RealVector, double, Relationship, RealVector, double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearConstraint Deprecated. Build a constraint involving two linear equations. LinearConstraintSet - Class in org.apache.commons.math3.optim.linear Class that represents a set of linear constraints. LinearConstraintSet(LinearConstraint...) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraintSet Creates a set containing the given constraints. LinearConstraintSet(Collection<LinearConstraint>) - Constructor for class org.apache.commons.math3.optim.linear.LinearConstraintSet Creates a set containing the given constraints. LinearInterpolator - Class in org.apache.commons.math3.analysis.interpolation Implements a linear function for interpolation of real univariate functions. LinearInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.LinearInterpolator LinearObjectiveFunction - Class in org.apache.commons.math3.optim.linear An objective function for a linear optimization problem. LinearObjectiveFunction(double[], double) - Constructor for class org.apache.commons.math3.optim.linear.LinearObjectiveFunction LinearObjectiveFunction(RealVector, double) - Constructor for class org.apache.commons.math3.optim.linear.LinearObjectiveFunction LinearObjectiveFunction - Class in org.apache.commons.math3.optimization.linear Deprecated. As of 3.1 (to be removed in 4.0). LinearObjectiveFunction(double[], double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction Deprecated. LinearObjectiveFunction(RealVector, double) - Constructor for class org.apache.commons.math3.optimization.linear.LinearObjectiveFunction Deprecated. LinearOptimizer - Class in org.apache.commons.math3.optim.linear Base class for implementing linear optimizers. LinearOptimizer() - Constructor for class org.apache.commons.math3.optim.linear.LinearOptimizer Simple constructor with default settings. LinearOptimizer - Interface in org.apache.commons.math3.optimization.linear Deprecated. As of 3.1 (to be removed in 4.0). LineSearch - Class in org.apache.commons.math3.optim.nonlinear.scalar Class for finding the minimum of the objective function along a given direction. LineSearch(MultivariateOptimizer, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.LineSearch The BrentOptimizer default stopping criterion uses the tolerances to check the domain (point) values, not the function values. ListPopulation - Class in org.apache.commons.math3.genetics Population of chromosomes represented by a List. ListPopulation(int) - Constructor for class org.apache.commons.math3.genetics.ListPopulation Creates a new ListPopulation instance and initializes its inner chromosome list. ListPopulation(List<Chromosome>, int) - Constructor for class org.apache.commons.math3.genetics.ListPopulation Creates a new ListPopulation instance. load(double[]) - Method in class org.apache.commons.math3.random.EmpiricalDistribution Computes the empirical distribution from the provided array of numbers. load(URL) - Method in class org.apache.commons.math3.random.EmpiricalDistribution Computes the empirical distribution using data read from a URL. load(File) - Method in class org.apache.commons.math3.random.EmpiricalDistribution Computes the empirical distribution from the input file. Localizable - Interface in org.apache.commons.math3.exception.util Interface for localizable strings. LocalizedFormats - Enum in org.apache.commons.math3.exception.util Enumeration for localized messages formats used in exceptions messages. LocationFinder - Class in org.apache.commons.math3.ml.neuralnet.twod.util Helper class to find the grid coordinates of a neuron. LocationFinder(NeuronSquareMesh2D) - Constructor for class org.apache.commons.math3.ml.neuralnet.twod.util.LocationFinder Builds a finder to retrieve the locations of neurons that belong to the given map. LocationFinder.Location - Class in org.apache.commons.math3.ml.neuralnet.twod.util Container holding a (row, column) pair. LocationFinder.Location(int, int) - Constructor for class org.apache.commons.math3.ml.neuralnet.twod.util.LocationFinder.Location LoessInterpolator - Class in org.apache.commons.math3.analysis.interpolation Implements the Local Regression Algorithm (also Loess, Lowess) for interpolation of real univariate functions. LoessInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.LoessInterpolator Constructs a new LoessInterpolator with a bandwidth of LoessInterpolator.DEFAULT_BANDWIDTH, LoessInterpolator.DEFAULT_ROBUSTNESS_ITERS robustness iterations and an accuracy of {#link #DEFAULT_ACCURACY}. LoessInterpolator(double, int) - Constructor for class org.apache.commons.math3.analysis.interpolation.LoessInterpolator Construct a new LoessInterpolator with given bandwidth and number of robustness iterations. LoessInterpolator(double, int, double) - Constructor for class org.apache.commons.math3.analysis.interpolation.LoessInterpolator Construct a new LoessInterpolator with given bandwidth, number of robustness iterations and accuracy. log() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Natural logarithm. log(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Compute natural logarithm of a derivative structure. log() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Natural logarithm. Log - Class in org.apache.commons.math3.analysis.function Natural logarithm function. Log() - Constructor for class org.apache.commons.math3.analysis.function.Log log() - Method in class org.apache.commons.math3.complex.Complex Compute the natural logarithm of this complex number. log() - Method in class org.apache.commons.math3.dfp.Dfp Natural logarithm. log(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath Returns the natural logarithm of a. log() - Method in interface org.apache.commons.math3.RealFieldElement Natural logarithm. log() - Method in class org.apache.commons.math3.util.Decimal64 Natural logarithm. log(double) - Static method in class org.apache.commons.math3.util.FastMath Natural logarithm. log(double, double) - Static method in class org.apache.commons.math3.util.FastMath Computes the logarithm in a given base. log10() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Base 10 logarithm. log10(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Computes base 10 logarithm of a derivative structure. log10() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Base 10 logarithm. Log10 - Class in org.apache.commons.math3.analysis.function Base 10 logarithm function. Log10() - Constructor for class org.apache.commons.math3.analysis.function.Log10 log10() - Method in class org.apache.commons.math3.dfp.Dfp Deprecated. as of 3.2, replaced by Dfp.intLog10(), in 4.0 the return type will be changed to Dfp log10() - Method in class org.apache.commons.math3.util.Decimal64 Base 10 logarithm. log10(double) - Static method in class org.apache.commons.math3.util.FastMath Compute the base 10 logarithm. log10K() - Method in class org.apache.commons.math3.dfp.Dfp Get the exponent of the greatest power of 10000 that is less than or equal to the absolute value of this. log1p() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Shifted natural logarithm. log1p(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Computes shifted logarithm of a derivative structure. log1p() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Shifted natural logarithm. Log1p - Class in org.apache.commons.math3.analysis.function log(1 + p) function. Log1p() - Constructor for class org.apache.commons.math3.analysis.function.Log1p log1p() - Method in class org.apache.commons.math3.dfp.Dfp Shifted natural logarithm. log1p() - Method in interface org.apache.commons.math3.RealFieldElement Shifted natural logarithm. log1p() - Method in class org.apache.commons.math3.util.Decimal64 Shifted natural logarithm. log1p(double) - Static method in class org.apache.commons.math3.util.FastMath Computes log(1 + x). logBeta(double, double, double, int) - Static method in class org.apache.commons.math3.special.Beta Deprecated. as of version 3.1, this method is deprecated as the computation of the beta function is no longer iterative; it will be removed in version 4.0. Current implementation of this method internally calls Beta.logBeta(double, double). logBeta(double, double) - Static method in class org.apache.commons.math3.special.Beta Returns the value of log B(p, q) for 0 ≤ x ≤ 1 and p, q > 0. logDensity(double) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x. logDensity(double) - Method in class org.apache.commons.math3.distribution.BetaDistribution Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x. logDensity(double) - Method in class org.apache.commons.math3.distribution.ChiSquaredDistribution Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x. logDensity(double) - Method in class org.apache.commons.math3.distribution.ExponentialDistribution Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x. logDensity(double) - Method in class org.apache.commons.math3.distribution.FDistribution Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x. logDensity(double) - Method in class org.apache.commons.math3.distribution.GammaDistribution Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x. logDensity(double) - Method in class org.apache.commons.math3.distribution.LevyDistribution Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x. logDensity(double) - Method in class org.apache.commons.math3.distribution.LogNormalDistribution Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x. logDensity(double) - Method in class org.apache.commons.math3.distribution.NormalDistribution Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x. logDensity(double) - Method in class org.apache.commons.math3.distribution.ParetoDistribution Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x. logDensity(double) - Method in class org.apache.commons.math3.distribution.TDistribution Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x. logDensity(double) - Method in class org.apache.commons.math3.distribution.WeibullDistribution Returns the natural logarithm of the probability density function (PDF) of this distribution evaluated at the specified point x. logGamma(double) - Static method in class org.apache.commons.math3.special.Gamma Returns the value of log Γ(x) for x > 0. logGamma1p(double) - Static method in class org.apache.commons.math3.special.Gamma Returns the value of log Γ(1 + x) for -0.5 ≤ x ≤ 1.5. logInternal(Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath Computes the natural log of a number between 0 and 2. Logistic - Class in org.apache.commons.math3.analysis.function Generalised logistic function. Logistic(double, double, double, double, double, double) - Constructor for class org.apache.commons.math3.analysis.function.Logistic Logistic.Parametric - Class in org.apache.commons.math3.analysis.function Parametric function where the input array contains the parameters of the logistic function, ordered as follows: k m b q a n Logistic.Parametric() - Constructor for class org.apache.commons.math3.analysis.function.Logistic.Parametric LogisticDistribution - Class in org.apache.commons.math3.distribution This class implements the Logistic distribution. LogisticDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.LogisticDistribution Build a new instance. LogisticDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.LogisticDistribution Build a new instance. Logit - Class in org.apache.commons.math3.analysis.function Logit function. Logit() - Constructor for class org.apache.commons.math3.analysis.function.Logit Usual logit function, where the lower bound is 0 and the higher bound is 1. Logit(double, double) - Constructor for class org.apache.commons.math3.analysis.function.Logit Logit function. Logit.Parametric - Class in org.apache.commons.math3.analysis.function Parametric function where the input array contains the parameters of the logit function, ordered as follows: Lower bound Higher bound Logit.Parametric() - Constructor for class org.apache.commons.math3.analysis.function.Logit.Parametric LogNormalDistribution - Class in org.apache.commons.math3.distribution Implementation of the log-normal (gaussian) distribution. LogNormalDistribution() - Constructor for class org.apache.commons.math3.distribution.LogNormalDistribution Create a log-normal distribution, where the mean and standard deviation of the normally distributed natural logarithm of the log-normal distribution are equal to zero and one respectively. LogNormalDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.LogNormalDistribution Create a log-normal distribution using the specified scale and shape. LogNormalDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.LogNormalDistribution Create a log-normal distribution using the specified scale, shape and inverse cumulative distribution accuracy. LogNormalDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.LogNormalDistribution Creates a log-normal distribution. LogNormalDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.LogNormalDistribution Creates a log-normal distribution. logProbability(int) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution For a random variable X whose values are distributed according to this distribution, this method returns log(P(X = x)), where log is the natural logarithm. logProbability(int) - Method in class org.apache.commons.math3.distribution.BinomialDistribution For a random variable X whose values are distributed according to this distribution, this method returns log(P(X = x)), where log is the natural logarithm. logProbability(int) - Method in class org.apache.commons.math3.distribution.GeometricDistribution For a random variable X whose values are distributed according to this distribution, this method returns log(P(X = x)), where log is the natural logarithm. logProbability(int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution For a random variable X whose values are distributed according to this distribution, this method returns log(P(X = x)), where log is the natural logarithm. logProbability(int) - Method in class org.apache.commons.math3.distribution.PascalDistribution For a random variable X whose values are distributed according to this distribution, this method returns log(P(X = x)), where log is the natural logarithm. logProbability(int) - Method in class org.apache.commons.math3.distribution.PoissonDistribution For a random variable X whose values are distributed according to this distribution, this method returns log(P(X = x)), where log is the natural logarithm. logProbability(int) - Method in class org.apache.commons.math3.distribution.ZipfDistribution For a random variable X whose values are distributed according to this distribution, this method returns log(P(X = x)), where log is the natural logarithm. longValue() - Method in class org.apache.commons.math3.fraction.BigFraction Gets the fraction as a long. longValue() - Method in class org.apache.commons.math3.fraction.Fraction Gets the fraction as a long. longValue() - Method in class org.apache.commons.math3.util.Decimal64 The current implementation performs casting to a long. LUDecomposition - Class in org.apache.commons.math3.linear Calculates the LUP-decomposition of a square matrix. LUDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.LUDecomposition Calculates the LU-decomposition of the given matrix. LUDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math3.linear.LUDecomposition Calculates the LU-decomposition of the given matrix. LutherFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode.nonstiff This class implements the Luther sixth order Runge-Kutta integrator for Ordinary Differential Equations. LutherFieldIntegrator(Field<T>, T) - Constructor for class org.apache.commons.math3.ode.nonstiff.LutherFieldIntegrator Simple constructor. LutherIntegrator - Class in org.apache.commons.math3.ode.nonstiff This class implements the Luther sixth order Runge-Kutta integrator for Ordinary Differential Equations. LutherIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.LutherIntegrator Simple constructor. M m2 - Variable in class org.apache.commons.math3.stat.descriptive.moment.SecondMoment second moment of values that have been added main(String[]) - Static method in class org.apache.commons.math3.util.FastMath Print out contents of arrays, and check the length. mainSetDimension - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator Main set dimension. mainSetDimension - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator Main set dimension. MainStateJacobianProvider - Interface in org.apache.commons.math3.ode Interface expanding first order differential equations in order to compute exactly the main state jacobian matrix for partial derivatives equations. ManhattanDistance - Class in org.apache.commons.math3.ml.distance Calculates the L₁ (sum of abs) distance between two points. ManhattanDistance() - Constructor for class org.apache.commons.math3.ml.distance.ManhattanDistance mannWhitneyU(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.MannWhitneyUTest Computes the Mann-Whitney U statistic comparing mean for two independent samples possibly of different length. MannWhitneyUTest - Class in org.apache.commons.math3.stat.inference An implementation of the Mann-Whitney U test (also called Wilcoxon rank-sum test). MannWhitneyUTest() - Constructor for class org.apache.commons.math3.stat.inference.MannWhitneyUTest Create a test instance using where NaN's are left in place and ties get the average of applicable ranks. MannWhitneyUTest(NaNStrategy, TiesStrategy) - Constructor for class org.apache.commons.math3.stat.inference.MannWhitneyUTest Create a test instance using the given strategies for NaN's and ties. mannWhitneyUTest(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.MannWhitneyUTest Returns the asymptotic observed significance level, or p-value, associated with a Mann-Whitney U statistic comparing mean for two independent samples. mant - Variable in class org.apache.commons.math3.dfp.Dfp Mantissa. map(UnivariateFunction) - Method in class org.apache.commons.math3.linear.ArrayRealVector Acts as if implemented as: map(UnivariateFunction) - Method in class org.apache.commons.math3.linear.RealVector Acts as if implemented as: mapAdd(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Map an addition operation to each entry. mapAdd(T) - Method in interface org.apache.commons.math3.linear.FieldVector Map an addition operation to each entry. mapAdd(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector Add a value to each entry. mapAdd(double) - Method in class org.apache.commons.math3.linear.RealVector Add a value to each entry. mapAdd(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector Map an addition operation to each entry. mapAddToSelf(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Map an addition operation to each entry. mapAddToSelf(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector Add a value to each entry. mapAddToSelf(T) - Method in interface org.apache.commons.math3.linear.FieldVector Map an addition operation to each entry. mapAddToSelf(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector Add a value to each entry. mapAddToSelf(double) - Method in class org.apache.commons.math3.linear.RealVector Add a value to each entry. mapAddToSelf(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector Map an addition operation to each entry. MapDataVisualization - Interface in org.apache.commons.math3.ml.neuralnet.twod.util Interface for algorithms that compute some metrics of the projection of data on a 2D-map. mapDerivative(FieldODEStateAndDerivative<T>) - Method in class org.apache.commons.math3.ode.FieldEquationsMapper Map a state derivative to a complete flat array. mapDivide(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Map a division operation to each entry. mapDivide(T) - Method in interface org.apache.commons.math3.linear.FieldVector Map a division operation to each entry. mapDivide(double) - Method in class org.apache.commons.math3.linear.RealVector Divide each entry by the argument. mapDivide(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector Map a division operation to each entry. mapDivideToSelf(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Map a division operation to each entry. mapDivideToSelf(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector Divide each entry by the argument. mapDivideToSelf(T) - Method in interface org.apache.commons.math3.linear.FieldVector Map a division operation to each entry. mapDivideToSelf(double) - Method in class org.apache.commons.math3.linear.RealVector Divide each entry by the argument. mapDivideToSelf(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector Map a division operation to each entry. mapInv() - Method in class org.apache.commons.math3.linear.ArrayFieldVector Map the 1/x function to each entry. mapInv() - Method in interface org.apache.commons.math3.linear.FieldVector Map the 1/x function to each entry. mapInv() - Method in class org.apache.commons.math3.linear.SparseFieldVector Map the 1/x function to each entry. mapInvToSelf() - Method in class org.apache.commons.math3.linear.ArrayFieldVector Map the 1/x function to each entry. mapInvToSelf() - Method in interface org.apache.commons.math3.linear.FieldVector Map the 1/x function to each entry. mapInvToSelf() - Method in class org.apache.commons.math3.linear.SparseFieldVector Map the 1/x function to each entry. mapMultiply(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Map a multiplication operation to each entry. mapMultiply(T) - Method in interface org.apache.commons.math3.linear.FieldVector Map a multiplication operation to each entry. mapMultiply(double) - Method in class org.apache.commons.math3.linear.RealVector Multiply each entry by the argument. mapMultiply(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector Map a multiplication operation to each entry. mapMultiplyToSelf(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Map a multiplication operation to each entry. mapMultiplyToSelf(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector Multiply each entry. mapMultiplyToSelf(T) - Method in interface org.apache.commons.math3.linear.FieldVector Map a multiplication operation to each entry. mapMultiplyToSelf(double) - Method in class org.apache.commons.math3.linear.RealVector Multiply each entry. mapMultiplyToSelf(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector Map a multiplication operation to each entry. mapState(FieldODEState<T>) - Method in class org.apache.commons.math3.ode.FieldEquationsMapper Map a state to a complete flat array. mapStateAndDerivative(T, T[], T[]) - Method in class org.apache.commons.math3.ode.FieldEquationsMapper Map flat arrays to a state and derivative. mapSubtract(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Map a subtraction operation to each entry. mapSubtract(T) - Method in interface org.apache.commons.math3.linear.FieldVector Map a subtraction operation to each entry. mapSubtract(double) - Method in class org.apache.commons.math3.linear.RealVector Subtract a value from each entry. mapSubtract(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector Map a subtraction operation to each entry. mapSubtractToSelf(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Map a subtraction operation to each entry. mapSubtractToSelf(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector Subtract a value from each entry. mapSubtractToSelf(T) - Method in interface org.apache.commons.math3.linear.FieldVector Map a subtraction operation to each entry. mapSubtractToSelf(double) - Method in class org.apache.commons.math3.linear.RealVector Subtract a value from each entry. mapSubtractToSelf(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector Map a subtraction operation to each entry. mapToSelf(UnivariateFunction) - Method in class org.apache.commons.math3.linear.ArrayRealVector Acts as if it is implemented as: mapToSelf(UnivariateFunction) - Method in class org.apache.commons.math3.linear.RealVector Acts as if it is implemented as: MapUtils - Class in org.apache.commons.math3.ml.neuralnet Utilities for network maps. MapVisualization - Interface in org.apache.commons.math3.ml.neuralnet.twod.util Interface for algorithms that compute some property of a 2D-map. mate(AbstractListChromosome<T>, AbstractListChromosome<T>) - Method in class org.apache.commons.math3.genetics.CycleCrossover Helper for CycleCrossover.crossover(Chromosome, Chromosome). mate(AbstractListChromosome<T>, AbstractListChromosome<T>) - Method in class org.apache.commons.math3.genetics.OrderedCrossover Helper for OrderedCrossover.crossover(Chromosome, Chromosome). MathArithmeticException - Exception in org.apache.commons.math3.exception Base class for arithmetic exceptions. MathArithmeticException() - Constructor for exception org.apache.commons.math3.exception.MathArithmeticException Default constructor. MathArithmeticException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathArithmeticException Constructor with a specific message. MathArrays - Class in org.apache.commons.math3.util Arrays utilities. MathArrays.Function - Interface in org.apache.commons.math3.util Real-valued function that operate on an array or a part of it. MathArrays.OrderDirection - Enum in org.apache.commons.math3.util Specification of ordering direction. MathArrays.Position - Enum in org.apache.commons.math3.util Specification for indicating that some operation applies before or after a given index. MathIllegalArgumentException - Exception in org.apache.commons.math3.exception Base class for all preconditions violation exceptions. MathIllegalArgumentException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathIllegalArgumentException MathIllegalNumberException - Exception in org.apache.commons.math3.exception Base class for exceptions raised by a wrong number. MathIllegalNumberException(Localizable, Number, Object...) - Constructor for exception org.apache.commons.math3.exception.MathIllegalNumberException Construct an exception. MathIllegalStateException - Exception in org.apache.commons.math3.exception Base class for all exceptions that signal that the process throwing the exception is in a state that does not comply with the set of states that it is designed to be in. MathIllegalStateException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathIllegalStateException Simple constructor. MathIllegalStateException(Throwable, Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathIllegalStateException Simple constructor. MathIllegalStateException() - Constructor for exception org.apache.commons.math3.exception.MathIllegalStateException Default constructor. MathInternalError - Exception in org.apache.commons.math3.exception Exception triggered when something that shouldn't happen does happen. MathInternalError() - Constructor for exception org.apache.commons.math3.exception.MathInternalError Simple constructor. MathInternalError(Throwable) - Constructor for exception org.apache.commons.math3.exception.MathInternalError Simple constructor. MathInternalError(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathInternalError Constructor accepting a localized message. MathParseException - Exception in org.apache.commons.math3.exception Class to signal parse failures. MathParseException(String, int, Class<?>) - Constructor for exception org.apache.commons.math3.exception.MathParseException MathParseException(String, int) - Constructor for exception org.apache.commons.math3.exception.MathParseException MathRuntimeException - Exception in org.apache.commons.math3.exception As of release 4.0, all exceptions thrown by the Commons Math code (except NullArgumentException) inherit from this class. MathRuntimeException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathRuntimeException MathUnsupportedOperationException - Exception in org.apache.commons.math3.exception Base class for all unsupported features. MathUnsupportedOperationException() - Constructor for exception org.apache.commons.math3.exception.MathUnsupportedOperationException Default constructor. MathUnsupportedOperationException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.MathUnsupportedOperationException MathUtils - Class in org.apache.commons.math3.util Miscellaneous utility functions. MatrixDimensionMismatchException - Exception in org.apache.commons.math3.linear Exception to be thrown when either the number of rows or the number of columns of a matrix do not match the expected values. MatrixDimensionMismatchException(int, int, int, int) - Constructor for exception org.apache.commons.math3.linear.MatrixDimensionMismatchException Construct an exception from the mismatched dimensions. MatrixUtils - Class in org.apache.commons.math3.linear A collection of static methods that operate on or return matrices. Max - Class in org.apache.commons.math3.analysis.function Maximum function. Max() - Constructor for class org.apache.commons.math3.analysis.function.Max Max - Class in org.apache.commons.math3.stat.descriptive.rank Returns the maximum of the available values. Max() - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Max Create a Max instance Max(Max) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Max Copy constructor, creates a new Max identical to the original max(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils Returns the maximum of the entries in the input array, or Double.NaN if the array is empty. max(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils Returns the maximum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty. max(int, int) - Static method in class org.apache.commons.math3.util.FastMath Compute the maximum of two values max(long, long) - Static method in class org.apache.commons.math3.util.FastMath Compute the maximum of two values max(float, float) - Static method in class org.apache.commons.math3.util.FastMath Compute the maximum of two values max(double, double) - Static method in class org.apache.commons.math3.util.FastMath Compute the maximum of two values max(T, T) - Static method in class org.apache.commons.math3.util.MathUtils Find the maximum of two field elements. MAX_EXP - Static variable in class org.apache.commons.math3.dfp.Dfp The maximum exponent before overflow is signaled and results flushed to infinity MaxCountExceededException - Exception in org.apache.commons.math3.exception Exception to be thrown when some counter maximum value is exceeded. MaxCountExceededException(Number) - Constructor for exception org.apache.commons.math3.exception.MaxCountExceededException Construct the exception. MaxCountExceededException(Localizable, Number, Object...) - Constructor for exception org.apache.commons.math3.exception.MaxCountExceededException Construct the exception with a specific context. MaxEval - Class in org.apache.commons.math3.optim Maximum number of evaluations of the function to be optimized. MaxEval(int) - Constructor for class org.apache.commons.math3.optim.MaxEval maxEvaluations(int) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder Configure the max evaluations. MAXIMUM_PARTIAL_SUM_COUNT - Static variable in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest Bound on the number of partial sums in KolmogorovSmirnovTest.ksSum(double, double, int) MaxIter - Class in org.apache.commons.math3.optim Maximum number of iterations performed by an (iterative) algorithm. MaxIter(int) - Constructor for class org.apache.commons.math3.optim.MaxIter maxIterations(int) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder Configure the max iterations. mdfft(Object, TransformType) - Method in class org.apache.commons.math3.transform.FastFourierTransformer Deprecated. see MATH-736 Mean - Class in org.apache.commons.math3.stat.descriptive.moment Computes the arithmetic mean of a set of values. Mean() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Mean Constructs a Mean. Mean(FirstMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Mean Constructs a Mean with an External Moment. Mean(Mean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Mean Copy constructor, creates a new Mean identical to the original mean(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils Returns the arithmetic mean of the entries in the input array, or Double.NaN if the array is empty. mean(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils Returns the arithmetic mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty. meanDifference(double[], double[]) - Static method in class org.apache.commons.math3.stat.StatUtils Returns the mean of the (signed) differences between corresponding elements of the input arrays -- i.e., sum(sample1[i] - sample2[i]) / sample1.length. MeasurementModel - Interface in org.apache.commons.math3.filter Defines the measurement model for the use with a KalmanFilter. Median - Class in org.apache.commons.math3.stat.descriptive.rank Returns the median of the available values. Median() - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Median Default constructor. Median(Median) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Median Copy constructor, creates a new Median identical to the original MedianOf3PivotingStrategy - Class in org.apache.commons.math3.util Classic median of 3 strategy given begin and end indices. MedianOf3PivotingStrategy() - Constructor for class org.apache.commons.math3.util.MedianOf3PivotingStrategy merge(BSPTree<S>, BSPTree<S>, BSPTree<S>, boolean, boolean) - Method in interface org.apache.commons.math3.geometry.partitioning.BSPTree.LeafMerger Merge a leaf node and a tree node. merge(BSPTree<S>, BSPTree.LeafMerger<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree Merge a BSP tree with the instance. merge(Frequency) - Method in class org.apache.commons.math3.stat.Frequency Merge another Frequency object's counts into this instance. merge(Collection<Frequency>) - Method in class org.apache.commons.math3.stat.Frequency Merge a Collection of Frequency objects into this instance. MersenneTwister - Class in org.apache.commons.math3.random This class implements a powerful pseudo-random number generator developed by Makoto Matsumoto and Takuji Nishimura during 1996-1997. MersenneTwister() - Constructor for class org.apache.commons.math3.random.MersenneTwister Creates a new random number generator. MersenneTwister(int) - Constructor for class org.apache.commons.math3.random.MersenneTwister Creates a new random number generator using a single int seed. MersenneTwister(int[]) - Constructor for class org.apache.commons.math3.random.MersenneTwister Creates a new random number generator using an int array seed. MersenneTwister(long) - Constructor for class org.apache.commons.math3.random.MersenneTwister Creates a new random number generator using a single long seed. MicrosphereInterpolatingFunction - Class in org.apache.commons.math3.analysis.interpolation Deprecated. Code will be removed in 4.0. Use InterpolatingMicrosphere and MicrosphereProjectionInterpolator instead. MicrosphereInterpolatingFunction(double[][], double[], int, int, UnitSphereRandomVectorGenerator) - Constructor for class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction Deprecated. MicrosphereInterpolator - Class in org.apache.commons.math3.analysis.interpolation Deprecated. Code will be removed in 4.0. Use InterpolatingMicrosphere and MicrosphereProjectionInterpolator instead. MicrosphereInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator Deprecated. Create a microsphere interpolator with default settings. MicrosphereInterpolator(int, int) - Constructor for class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolator Deprecated. Create a microsphere interpolator. MicrosphereProjectionInterpolator - Class in org.apache.commons.math3.analysis.interpolation Interpolator that implements the algorithm described in William Dudziak's MS thesis. MicrosphereProjectionInterpolator(int, int, double, double, double, double, boolean, double) - Constructor for class org.apache.commons.math3.analysis.interpolation.MicrosphereProjectionInterpolator Create a microsphere interpolator. MicrosphereProjectionInterpolator(InterpolatingMicrosphere, double, boolean, double) - Constructor for class org.apache.commons.math3.analysis.interpolation.MicrosphereProjectionInterpolator Create a microsphere interpolator. midpoint(double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils Compute the midpoint of two values. MIDPOINT_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.MidPointIntegrator Maximum number of iterations for midpoint. MidpointFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode.nonstiff This class implements a second order Runge-Kutta integrator for Ordinary Differential Equations. MidpointFieldIntegrator(Field<T>, T) - Constructor for class org.apache.commons.math3.ode.nonstiff.MidpointFieldIntegrator Simple constructor. MidPointIntegrator - Class in org.apache.commons.math3.analysis.integration Implements the Midpoint Rule for integration of real univariate functions. MidPointIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.MidPointIntegrator Build a midpoint integrator with given accuracies and iterations counts. MidPointIntegrator(int, int) - Constructor for class org.apache.commons.math3.analysis.integration.MidPointIntegrator Build a midpoint integrator with given iteration counts. MidPointIntegrator() - Constructor for class org.apache.commons.math3.analysis.integration.MidPointIntegrator Construct a midpoint integrator with default settings. MidpointIntegrator - Class in org.apache.commons.math3.ode.nonstiff This class implements a second order Runge-Kutta integrator for Ordinary Differential Equations. MidpointIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.MidpointIntegrator Simple constructor. MillerUpdatingRegression - Class in org.apache.commons.math3.stat.regression This class is a concrete implementation of the UpdatingMultipleLinearRegression interface. MillerUpdatingRegression(int, boolean, double) - Constructor for class org.apache.commons.math3.stat.regression.MillerUpdatingRegression This is the augmented constructor for the MillerUpdatingRegression class. MillerUpdatingRegression(int, boolean) - Constructor for class org.apache.commons.math3.stat.regression.MillerUpdatingRegression Primary constructor for the MillerUpdatingRegression. Min - Class in org.apache.commons.math3.analysis.function Minimum function. Min() - Constructor for class org.apache.commons.math3.analysis.function.Min Min - Class in org.apache.commons.math3.stat.descriptive.rank Returns the minimum of the available values. Min() - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Min Create a Min instance Min(Min) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Min Copy constructor, creates a new Min identical to the original min(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils Returns the minimum of the entries in the input array, or Double.NaN if the array is empty. min(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils Returns the minimum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty. min(int, int) - Static method in class org.apache.commons.math3.util.FastMath Compute the minimum of two values min(long, long) - Static method in class org.apache.commons.math3.util.FastMath Compute the minimum of two values min(float, float) - Static method in class org.apache.commons.math3.util.FastMath Compute the minimum of two values min(double, double) - Static method in class org.apache.commons.math3.util.FastMath Compute the minimum of two values min(T, T) - Static method in class org.apache.commons.math3.util.MathUtils Find the minimum of two field elements. MIN_EXP - Static variable in class org.apache.commons.math3.dfp.Dfp The minimum exponent before underflow is signaled. MINIMUM_PROBLEM_DIMENSION - Static variable in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.BOBYQAOptimizer Minimum dimension of the problem: 2 MINIMUM_PROBLEM_DIMENSION - Static variable in class org.apache.commons.math3.optimization.direct.BOBYQAOptimizer Deprecated. Minimum dimension of the problem: 2 Minus - Class in org.apache.commons.math3.analysis.function Minus function. Minus() - Constructor for class org.apache.commons.math3.analysis.function.Minus MINUS_I - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Opposite of the first canonical vector (coordinates: -1, 0, 0). MINUS_I - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point -I (coordinates: $ \theta = \pi, \varphi = \pi/2 $). MINUS_J - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Opposite of the second canonical vector (coordinates: 0, -1, 0). MINUS_J - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point -J (coordinates: $ \theta = 3\pi/2, \varphi = \pi/2 $). MINUS_K - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Opposite of the third canonical vector (coordinates: 0, 0, -1). MINUS_K - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point -K (coordinates: $ \theta = any angle, \varphi = \pi $). MINUS_ONE - Static variable in class org.apache.commons.math3.fraction.BigFraction A fraction representing "-1 / 1". MINUS_ONE - Static variable in class org.apache.commons.math3.fraction.Fraction A fraction representing "-1 / 1". MixtureMultivariateNormalDistribution - Class in org.apache.commons.math3.distribution Multivariate normal mixture distribution. MixtureMultivariateNormalDistribution(double[], double[][], double[][][]) - Constructor for class org.apache.commons.math3.distribution.MixtureMultivariateNormalDistribution Creates a multivariate normal mixture distribution. MixtureMultivariateNormalDistribution(List<Pair<Double, MultivariateNormalDistribution>>) - Constructor for class org.apache.commons.math3.distribution.MixtureMultivariateNormalDistribution Creates a mixture model from a list of distributions and their associated weights. MixtureMultivariateNormalDistribution(RandomGenerator, List<Pair<Double, MultivariateNormalDistribution>>) - Constructor for class org.apache.commons.math3.distribution.MixtureMultivariateNormalDistribution Creates a mixture model from a list of distributions and their associated weights. MixtureMultivariateRealDistribution<T extends MultivariateRealDistribution> - Class in org.apache.commons.math3.distribution Class for representing mixture model distributions. MixtureMultivariateRealDistribution(List<Pair<Double, T>>) - Constructor for class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution Creates a mixture model from a list of distributions and their associated weights. MixtureMultivariateRealDistribution(RandomGenerator, List<Pair<Double, T>>) - Constructor for class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution Creates a mixture model from a list of distributions and their associated weights. mode(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils Returns the sample mode(s). mode(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils Returns the sample mode(s). model(MultivariateVectorFunction, MultivariateMatrixFunction) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder Configure the model function. model(MultivariateJacobianFunction) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder Configure the model function. model(MultivariateVectorFunction, MultivariateMatrixFunction) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory Combine a MultivariateVectorFunction with a MultivariateMatrixFunction to produce a MultivariateJacobianFunction. ModelFunction - Class in org.apache.commons.math3.optim.nonlinear.vector Deprecated. All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the org.apache.commons.math3.fitting.leastsquares package (cf. MATH-1008). ModelFunction(MultivariateVectorFunction) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.ModelFunction Deprecated. ModelFunctionJacobian - Class in org.apache.commons.math3.optim.nonlinear.vector Deprecated. All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the org.apache.commons.math3.fitting.leastsquares package (cf. MATH-1008). ModelFunctionJacobian(MultivariateMatrixFunction) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.ModelFunctionJacobian Deprecated. ModelSpecificationException - Exception in org.apache.commons.math3.stat.regression Exception thrown when a regression model is not correctly specified. ModelSpecificationException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.stat.regression.ModelSpecificationException moment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Kurtosis Fourth Moment on which this statistic is based moment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Mean First moment on which this statistic is based. moment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Skewness Third moment on which this statistic is based moment - Variable in class org.apache.commons.math3.stat.descriptive.moment.Variance SecondMoment is used in incremental calculation of Variance MonotoneChain - Class in org.apache.commons.math3.geometry.euclidean.twod.hull Implements Andrew's monotone chain method to generate the convex hull of a finite set of points in the two-dimensional euclidean space. MonotoneChain() - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.hull.MonotoneChain Create a new MonotoneChain instance. MonotoneChain(boolean) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.hull.MonotoneChain Create a new MonotoneChain instance. MonotoneChain(boolean, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.hull.MonotoneChain Create a new MonotoneChain instance. MONTE_CARLO_ITERATIONS - Static variable in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest Deprecated. monteCarloP(double, int, int, boolean, int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest Uses Monte Carlo simulation to approximate $P(D_{n,m} > d)$ where $D_{n,m}$ is the 2-sample Kolmogorov-Smirnov statistic. monteCarloP(double, int, int, boolean, int) - Static method in class org.apache.commons.math3.stat.inference.TestUtils mulAndCheck(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils Multiply two integers, checking for overflow. mulAndCheck(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils Multiply two long integers, checking for overflow. MullerSolver - Class in org.apache.commons.math3.analysis.solvers This class implements the Muller's Method for root finding of real univariate functions. MullerSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver Construct a solver with default accuracy (1e-6). MullerSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver Construct a solver. MullerSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver Construct a solver. MullerSolver2 - Class in org.apache.commons.math3.analysis.solvers This class implements the Muller's Method for root finding of real univariate functions. MullerSolver2() - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver2 Construct a solver with default accuracy (1e-6). MullerSolver2(double) - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver2 Construct a solver. MullerSolver2(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.MullerSolver2 Construct a solver. MultidimensionalCounter - Class in org.apache.commons.math3.util Converter between unidimensional storage structure and multidimensional conceptual structure. MultidimensionalCounter(int...) - Constructor for class org.apache.commons.math3.util.MultidimensionalCounter Create a counter. MultidimensionalCounter.Iterator - Class in org.apache.commons.math3.util Perform iteration over the multidimensional counter. MultiDimensionMismatchException - Exception in org.apache.commons.math3.exception Exception to be thrown when two sets of dimensions differ. MultiDimensionMismatchException(Integer[], Integer[]) - Constructor for exception org.apache.commons.math3.exception.MultiDimensionMismatchException Construct an exception from the mismatched dimensions. MultiDimensionMismatchException(Localizable, Integer[], Integer[]) - Constructor for exception org.apache.commons.math3.exception.MultiDimensionMismatchException Construct an exception from the mismatched dimensions. MultiDirectionalSimplex - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv This class implements the multi-directional direct search method. MultiDirectionalSimplex(int) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex Build a multi-directional simplex with default coefficients. MultiDirectionalSimplex(int, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex Build a multi-directional simplex with default coefficients. MultiDirectionalSimplex(int, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex Build a multi-directional simplex with specified coefficients. MultiDirectionalSimplex(int, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex Build a multi-directional simplex with specified coefficients. MultiDirectionalSimplex(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex Build a multi-directional simplex with default coefficients. MultiDirectionalSimplex(double[], double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex Build a multi-directional simplex with specified coefficients. MultiDirectionalSimplex(double[][]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex Build a multi-directional simplex with default coefficients. MultiDirectionalSimplex(double[][], double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.MultiDirectionalSimplex Build a multi-directional simplex with specified coefficients. MultiDirectionalSimplex - Class in org.apache.commons.math3.optimization.direct Deprecated. As of 3.1 (to be removed in 4.0). MultiDirectionalSimplex(int) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex Deprecated. Build a multi-directional simplex with default coefficients. MultiDirectionalSimplex(int, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex Deprecated. Build a multi-directional simplex with default coefficients. MultiDirectionalSimplex(int, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex Deprecated. Build a multi-directional simplex with specified coefficients. MultiDirectionalSimplex(int, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex Deprecated. Build a multi-directional simplex with specified coefficients. MultiDirectionalSimplex(double[]) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex Deprecated. Build a multi-directional simplex with default coefficients. MultiDirectionalSimplex(double[], double, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex Deprecated. Build a multi-directional simplex with specified coefficients. MultiDirectionalSimplex(double[][]) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex Deprecated. Build a multi-directional simplex with default coefficients. MultiDirectionalSimplex(double[][], double, double) - Constructor for class org.apache.commons.math3.optimization.direct.MultiDirectionalSimplex Deprecated. Build a multi-directional simplex with specified coefficients. MultiKMeansPlusPlusClusterer<T extends Clusterable> - Class in org.apache.commons.math3.ml.clustering A wrapper around a k-means++ clustering algorithm which performs multiple trials and returns the best solution. MultiKMeansPlusPlusClusterer(KMeansPlusPlusClusterer<T>, int) - Constructor for class org.apache.commons.math3.ml.clustering.MultiKMeansPlusPlusClusterer Build a clusterer. MultiKMeansPlusPlusClusterer(KMeansPlusPlusClusterer<T>, int, ClusterEvaluator<T>) - Constructor for class org.apache.commons.math3.ml.clustering.MultiKMeansPlusPlusClusterer Build a clusterer. MultipleLinearRegression - Interface in org.apache.commons.math3.stat.regression The multiple linear regression can be represented in matrix-notation. MULTIPLICATIVE_MODE - Static variable in class org.apache.commons.math3.util.ResizableDoubleArray Deprecated. As of 3.1. Please use ResizableDoubleArray.ExpansionMode.MULTIPLICATIVE instead. multiply(int) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Compute n × this. multiply(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure '×' operator. multiply(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Compute this × a. multiply(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Perform multiplication of two derivative structures. multiply(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Compute this × a. multiply(double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient '×' operator. multiply(int) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Compute n × this. Multiply - Class in org.apache.commons.math3.analysis.function Multiply the two operands. Multiply() - Constructor for class org.apache.commons.math3.analysis.function.Multiply multiply(UnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils Multiplies functions. multiply(UnivariateDifferentiableFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils Multiplies functions. multiply(DifferentiableUnivariateFunction...) - Static method in class org.apache.commons.math3.analysis.FunctionUtils Deprecated. as of 3.1 replaced by FunctionUtils.multiply(UnivariateDifferentiableFunction...) multiply(PolynomialFunction) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction Multiply the instance by a polynomial. multiply(Complex) - Method in class org.apache.commons.math3.complex.Complex Returns a Complex whose value is this * factor. multiply(int) - Method in class org.apache.commons.math3.complex.Complex Returns a Complex whose value is this * factor, with factor interpreted as a integer number. multiply(double) - Method in class org.apache.commons.math3.complex.Complex Returns a Complex whose value is this * factor, with factor interpreted as a real number. multiply(Quaternion, Quaternion) - Static method in class org.apache.commons.math3.complex.Quaternion Returns the Hamilton product of two quaternions. multiply(Quaternion) - Method in class org.apache.commons.math3.complex.Quaternion Returns the Hamilton product of the instance by a quaternion. multiply(double) - Method in class org.apache.commons.math3.complex.Quaternion Multiplies the instance by a scalar. multiply(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp Multiply this by x. multiply(int) - Method in class org.apache.commons.math3.dfp.Dfp Multiply this by a single digit x. multiply(double) - Method in class org.apache.commons.math3.dfp.Dfp '×' operator. multiply(int) - Method in interface org.apache.commons.math3.FieldElement Compute n × this. multiply(T) - Method in interface org.apache.commons.math3.FieldElement Compute this × a. multiply(BigInteger) - Method in class org.apache.commons.math3.fraction.BigFraction Multiplies the value of this fraction by the passed BigInteger, returning the result in reduced form. multiply(int) - Method in class org.apache.commons.math3.fraction.BigFraction Multiply the value of this fraction by the passed int, returning the result in reduced form. multiply(long) - Method in class org.apache.commons.math3.fraction.BigFraction Multiply the value of this fraction by the passed long, returning the result in reduced form. multiply(BigFraction) - Method in class org.apache.commons.math3.fraction.BigFraction Multiplies the value of this fraction by another, returning the result in reduced form. multiply(Fraction) - Method in class org.apache.commons.math3.fraction.Fraction Multiplies the value of this fraction by another, returning the result in reduced form. multiply(int) - Method in class org.apache.commons.math3.fraction.Fraction Multiply the fraction by an integer. multiply(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Postmultiply this matrix by m. multiply(RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Returns the result of postmultiplying this by m. multiply(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix Postmultiplying this matrix by m. multiply(Array2DRowRealMatrix) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix Returns the result of postmultiplying this by m. multiply(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Postmultiply this matrix by m. multiply(BlockFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Returns the result of postmultiplying this by m. multiply(RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Returns the result of postmultiplying this by m. multiply(BlockRealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Returns the result of postmultiplying this by m. multiply(DiagonalMatrix) - Method in class org.apache.commons.math3.linear.DiagonalMatrix Returns the result of postmultiplying this by m. multiply(RealMatrix) - Method in class org.apache.commons.math3.linear.DiagonalMatrix Returns the result of postmultiplying this by m. multiply(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix Postmultiply this matrix by m. multiply(RealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix Returns the result of postmultiplying this by m. multiply(OpenMapRealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix Postmultiply this matrix by m. multiply(RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix Returns the result of postmultiplying this by m. multiply(double) - Method in interface org.apache.commons.math3.RealFieldElement '×' operator. multiply(BigReal) - Method in class org.apache.commons.math3.util.BigReal Compute this × a. multiply(int) - Method in class org.apache.commons.math3.util.BigReal Compute n × this. multiply(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64 Compute this × a. multiply(int) - Method in class org.apache.commons.math3.util.Decimal64 Compute n × this. multiply(double) - Method in class org.apache.commons.math3.util.Decimal64 '×' operator. multiplyEntry(int, int, T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Change an entry in the specified row and column. multiplyEntry(int, int, double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Multiplies (in place) the specified entry of this matrix by the specified value. multiplyEntry(int, int, T) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix Change an entry in the specified row and column. multiplyEntry(int, int, double) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix Multiplies (in place) the specified entry of this matrix by the specified value. multiplyEntry(int, int, T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Change an entry in the specified row and column. multiplyEntry(int, int, double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Multiplies (in place) the specified entry of this matrix by the specified value. multiplyEntry(int, int, double) - Method in class org.apache.commons.math3.linear.DiagonalMatrix Multiplies (in place) the specified entry of this matrix by the specified value. multiplyEntry(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrix Change an entry in the specified row and column. multiplyEntry(int, int, double) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix Multiplies (in place) the specified entry of this matrix by the specified value. multiplyEntry(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrix Multiplies (in place) the specified entry of this matrix by the specified value. multiplyEntry(int, int, T) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix Change an entry in the specified row and column. multiplyExact(int, int) - Static method in class org.apache.commons.math3.util.FastMath Multiply two numbers, detecting overflows. multiplyExact(long, long) - Static method in class org.apache.commons.math3.util.FastMath Multiply two numbers, detecting overflows. multiplyInPlace(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Multiply in place. MultiStartMultivariateOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar Multi-start optimizer. MultiStartMultivariateOptimizer(MultivariateOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer Create a multi-start optimizer from a single-start optimizer. MultiStartMultivariateVectorOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector Deprecated. MultiStartMultivariateVectorOptimizer(MultivariateVectorOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer Deprecated. Create a multi-start optimizer from a single-start optimizer. MultiStartUnivariateOptimizer - Class in org.apache.commons.math3.optim.univariate Special implementation of the UnivariateOptimizer interface adding multi-start features to an existing optimizer. MultiStartUnivariateOptimizer(UnivariateOptimizer, int, RandomGenerator) - Constructor for class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer Create a multi-start optimizer from a single-start optimizer. MultistepFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode This class is the base class for multistep integrators for Ordinary Differential Equations. MultistepFieldIntegrator(Field<T>, String, int, int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.MultistepFieldIntegrator Build a multistep integrator with the given stepsize bounds. MultistepFieldIntegrator(Field<T>, String, int, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.MultistepFieldIntegrator Build a multistep integrator with the given stepsize bounds. MultistepIntegrator - Class in org.apache.commons.math3.ode This class is the base class for multistep integrators for Ordinary Differential Equations. MultistepIntegrator(String, int, int, double, double, double, double) - Constructor for class org.apache.commons.math3.ode.MultistepIntegrator Build a multistep integrator with the given stepsize bounds. MultistepIntegrator(String, int, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math3.ode.MultistepIntegrator Build a multistep integrator with the given stepsize bounds. MultistepIntegrator.NordsieckTransformer - Interface in org.apache.commons.math3.ode Deprecated. as of 3.6 this unused interface is deprecated MultivariateDifferentiableFunction - Interface in org.apache.commons.math3.analysis.differentiation Extension of MultivariateFunction representing a multivariate differentiable real function. MultivariateDifferentiableMultiStartOptimizer - Class in org.apache.commons.math3.optimization Deprecated. As of 3.1 (to be removed in 4.0). MultivariateDifferentiableMultiStartOptimizer(MultivariateDifferentiableOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.MultivariateDifferentiableMultiStartOptimizer Deprecated. Create a multi-start optimizer from a single-start optimizer. MultivariateDifferentiableOptimizer - Interface in org.apache.commons.math3.optimization Deprecated. As of 3.1 (to be removed in 4.0). MultivariateDifferentiableVectorFunction - Interface in org.apache.commons.math3.analysis.differentiation Extension of MultivariateVectorFunction representing a multivariate differentiable vectorial function. MultivariateDifferentiableVectorMultiStartOptimizer - Class in org.apache.commons.math3.optimization Deprecated. As of 3.1 (to be removed in 4.0). MultivariateDifferentiableVectorMultiStartOptimizer(MultivariateDifferentiableVectorOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.MultivariateDifferentiableVectorMultiStartOptimizer Deprecated. Create a multi-start optimizer from a single-start optimizer. MultivariateDifferentiableVectorOptimizer - Interface in org.apache.commons.math3.optimization Deprecated. As of 3.1 (to be removed in 4.0). MultivariateFunction - Interface in org.apache.commons.math3.analysis An interface representing a multivariate real function. MultivariateFunctionMappingAdapter - Class in org.apache.commons.math3.optim.nonlinear.scalar Adapter for mapping bounded MultivariateFunction to unbounded ones. MultivariateFunctionMappingAdapter(MultivariateFunction, double[], double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter Simple constructor. MultivariateFunctionMappingAdapter - Class in org.apache.commons.math3.optimization.direct Deprecated. As of 3.1 (to be removed in 4.0). MultivariateFunctionMappingAdapter(MultivariateFunction, double[], double[]) - Constructor for class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter Deprecated. Simple constructor. MultivariateFunctionPenaltyAdapter - Class in org.apache.commons.math3.optim.nonlinear.scalar Adapter extending bounded MultivariateFunction to an unbouded domain using a penalty function. MultivariateFunctionPenaltyAdapter(MultivariateFunction, double[], double[], double, double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionPenaltyAdapter Simple constructor. MultivariateFunctionPenaltyAdapter - Class in org.apache.commons.math3.optimization.direct Deprecated. As of 3.1 (to be removed in 4.0). MultivariateFunctionPenaltyAdapter(MultivariateFunction, double[], double[], double, double[]) - Constructor for class org.apache.commons.math3.optimization.direct.MultivariateFunctionPenaltyAdapter Deprecated. Simple constructor. MultivariateInterpolator - Interface in org.apache.commons.math3.analysis.interpolation Interface representing a univariate real interpolating function. MultivariateJacobianFunction - Interface in org.apache.commons.math3.fitting.leastsquares A interface for functions that compute a vector of values and can compute their derivatives (Jacobian). MultivariateMatrixFunction - Interface in org.apache.commons.math3.analysis An interface representing a multivariate matrix function. MultivariateMultiStartOptimizer - Class in org.apache.commons.math3.optimization Deprecated. As of 3.1 (to be removed in 4.0). MultivariateMultiStartOptimizer(MultivariateOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math3.optimization.MultivariateMultiStartOptimizer Deprecated. Create a multi-start optimizer from a single-start optimizer. MultivariateNormalDistribution - Class in org.apache.commons.math3.distribution Implementation of the multivariate normal (Gaussian) distribution. MultivariateNormalDistribution(double[], double[][]) - Constructor for class org.apache.commons.math3.distribution.MultivariateNormalDistribution Creates a multivariate normal distribution with the given mean vector and covariance matrix. MultivariateNormalDistribution(RandomGenerator, double[], double[][]) - Constructor for class org.apache.commons.math3.distribution.MultivariateNormalDistribution Creates a multivariate normal distribution with the given mean vector and covariance matrix. MultivariateNormalMixtureExpectationMaximization - Class in org.apache.commons.math3.distribution.fitting Expectation-Maximization algorithm for fitting the parameters of multivariate normal mixture model distributions. MultivariateNormalMixtureExpectationMaximization(double[][]) - Constructor for class org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization Creates an object to fit a multivariate normal mixture model to data. MultivariateOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar Base class for a multivariate scalar function optimizer. MultivariateOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer MultivariateOptimizer - Interface in org.apache.commons.math3.optimization Deprecated. As of 3.1 (to be removed in 4.0). MultivariateRealDistribution - Interface in org.apache.commons.math3.distribution Base interface for multivariate distributions on the reals. MultivariateSummaryStatistics - Class in org.apache.commons.math3.stat.descriptive Computes summary statistics for a stream of n-tuples added using the addValue method. MultivariateSummaryStatistics(int, boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics Construct a MultivariateSummaryStatistics instance MultivariateVectorFunction - Interface in org.apache.commons.math3.analysis An interface representing a multivariate vectorial function. MultivariateVectorOptimizer - Class in org.apache.commons.math3.optim.nonlinear.vector Deprecated. MultivariateVectorOptimizer(ConvergenceChecker<PointVectorValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer Deprecated. mutate(Chromosome) - Method in class org.apache.commons.math3.genetics.BinaryMutation Mutate the given chromosome. mutate(Chromosome) - Method in interface org.apache.commons.math3.genetics.MutationPolicy Mutate the given chromosome. mutate(Chromosome) - Method in class org.apache.commons.math3.genetics.RandomKeyMutation Mutate the given chromosome. MutationPolicy - Interface in org.apache.commons.math3.genetics Algorithm used to mutate a chromosome. N NakagamiDistribution - Class in org.apache.commons.math3.distribution This class implements the Nakagami distribution. NakagamiDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.NakagamiDistribution Build a new instance. NakagamiDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.NakagamiDistribution Build a new instance. NakagamiDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.NakagamiDistribution Build a new instance. NaN - Static variable in class org.apache.commons.math3.complex.Complex A complex number representing "NaN + NaNi" NaN - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D A vector with all coordinates set to NaN. NaN - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D A vector with all coordinates set to NaN. NaN - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D A vector with all coordinates set to NaN. NaN - Static variable in class org.apache.commons.math3.geometry.spherical.oned.S1Point A vector with all coordinates set to NaN. NaN - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point A vector with all coordinates set to NaN. NAN - Static variable in class org.apache.commons.math3.util.Decimal64 The constant value of Double.NaN as a Decimal64. nans - Variable in class org.apache.commons.math3.dfp.Dfp Indicator for non-finite / non-number values. NaNStrategy - Enum in org.apache.commons.math3.stat.ranking Strategies for handling NaN values in rank transformations. natural(int) - Static method in class org.apache.commons.math3.util.MathArrays Returns an array representing the natural number n. NaturalRanking - Class in org.apache.commons.math3.stat.ranking Ranking based on the natural ordering on doubles. NaturalRanking() - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking Create a NaturalRanking with default strategies for handling ties and NaNs. NaturalRanking(TiesStrategy) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking Create a NaturalRanking with the given TiesStrategy. NaturalRanking(NaNStrategy) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking Create a NaturalRanking with the given NaNStrategy. NaturalRanking(NaNStrategy, TiesStrategy) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking Create a NaturalRanking with the given NaNStrategy and TiesStrategy. NaturalRanking(RandomGenerator) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking Create a NaturalRanking with TiesStrategy.RANDOM and the given RandomGenerator as the source of random data. NaturalRanking(NaNStrategy, RandomGenerator) - Constructor for class org.apache.commons.math3.stat.ranking.NaturalRanking Create a NaturalRanking with the given NaNStrategy, TiesStrategy.RANDOM and the given source of random data. negate() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Returns the additive inverse of this element. negate() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Returns the additive inverse of this element. negate() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction Negate the instance. negate() - Method in class org.apache.commons.math3.complex.Complex Returns a Complex whose value is (-this). negate() - Method in class org.apache.commons.math3.dfp.Dfp Returns a number that is this number with the sign bit reversed. negate() - Method in interface org.apache.commons.math3.FieldElement Returns the additive inverse of this element. negate() - Method in class org.apache.commons.math3.fraction.BigFraction Return the additive inverse of this fraction, returning the result in reduced form. negate() - Method in class org.apache.commons.math3.fraction.Fraction Return the additive inverse of this fraction. negate() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D Get the opposite of the instance. negate() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Get the opposite of the instance. negate() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Get the opposite of the instance. negate() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Get the opposite of the instance. negate() - Method in class org.apache.commons.math3.geometry.spherical.twod.S2Point Get the opposite of the instance. negate() - Method in interface org.apache.commons.math3.geometry.Vector Get the opposite of the instance. negate() - Method in class org.apache.commons.math3.util.BigReal Returns the additive inverse of this element. negate() - Method in class org.apache.commons.math3.util.Decimal64 Returns the additive inverse of this element. NEGATIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D A vector with all coordinates set to negative infinity. NEGATIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D A vector with all coordinates set to negative infinity. NEGATIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D A vector with all coordinates set to negative infinity. NEGATIVE_INFINITY - Static variable in class org.apache.commons.math3.util.Decimal64 The constant value of Double.NEGATIVE_INFINITY as a Decimal64. negativeOrNull() - Method in class org.apache.commons.math3.dfp.Dfp Check if instance is less than or equal to 0. NeighbourhoodSizeFunction - Interface in org.apache.commons.math3.ml.neuralnet.sofm Provides the network neighbourhood's size as a function of the number of calls already performed during the learning task. NeighbourhoodSizeFunctionFactory - Class in org.apache.commons.math3.ml.neuralnet.sofm Factory for creating instances of NeighbourhoodSizeFunction. NelderMeadSimplex - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv This class implements the Nelder-Mead simplex algorithm. NelderMeadSimplex(int) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex Build a Nelder-Mead simplex with default coefficients. NelderMeadSimplex(int, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex Build a Nelder-Mead simplex with default coefficients. NelderMeadSimplex(int, double, double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex Build a Nelder-Mead simplex with specified coefficients. NelderMeadSimplex(int, double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex Build a Nelder-Mead simplex with specified coefficients. NelderMeadSimplex(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex Build a Nelder-Mead simplex with default coefficients. NelderMeadSimplex(double[], double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex Build a Nelder-Mead simplex with specified coefficients. NelderMeadSimplex(double[][]) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex Build a Nelder-Mead simplex with default coefficients. NelderMeadSimplex(double[][], double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.NelderMeadSimplex Build a Nelder-Mead simplex with specified coefficients. NelderMeadSimplex - Class in org.apache.commons.math3.optimization.direct Deprecated. As of 3.1 (to be removed in 4.0). NelderMeadSimplex(int) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex Deprecated. Build a Nelder-Mead simplex with default coefficients. NelderMeadSimplex(int, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex Deprecated. Build a Nelder-Mead simplex with default coefficients. NelderMeadSimplex(int, double, double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex Deprecated. Build a Nelder-Mead simplex with specified coefficients. NelderMeadSimplex(int, double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex Deprecated. Build a Nelder-Mead simplex with specified coefficients. NelderMeadSimplex(double[]) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex Deprecated. Build a Nelder-Mead simplex with default coefficients. NelderMeadSimplex(double[], double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex Deprecated. Build a Nelder-Mead simplex with specified coefficients. NelderMeadSimplex(double[][]) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex Deprecated. Build a Nelder-Mead simplex with default coefficients. NelderMeadSimplex(double[][], double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.NelderMeadSimplex Deprecated. Build a Nelder-Mead simplex with specified coefficients. Network - Class in org.apache.commons.math3.ml.neuralnet Neural network, composed of Neuron instances and the links between them. Network(long, int) - Constructor for class org.apache.commons.math3.ml.neuralnet.Network Network.NeuronIdentifierComparator - Class in org.apache.commons.math3.ml.neuralnet Comparator that prescribes an order of the neurons according to the increasing order of their identifier. Network.NeuronIdentifierComparator() - Constructor for class org.apache.commons.math3.ml.neuralnet.Network.NeuronIdentifierComparator Neuron - Class in org.apache.commons.math3.ml.neuralnet Describes a neuron element of a neural network. NeuronSquareMesh2D - Class in org.apache.commons.math3.ml.neuralnet.twod Neural network with the topology of a two-dimensional surface. NeuronSquareMesh2D(int, boolean, int, boolean, SquareNeighbourhood, FeatureInitializer[]) - Constructor for class org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D Creates a two-dimensional network composed of square cells: Each neuron not located on the border of the mesh has four neurons linked to it. NeuronSquareMesh2D.HorizontalDirection - Enum in org.apache.commons.math3.ml.neuralnet.twod Horizontal (along row) direction. NeuronSquareMesh2D.VerticalDirection - Enum in org.apache.commons.math3.ml.neuralnet.twod Vertical (along column) direction. NeuronString - Class in org.apache.commons.math3.ml.neuralnet.oned Neural network with the topology of a one-dimensional line. NeuronString(int, boolean, FeatureInitializer[]) - Constructor for class org.apache.commons.math3.ml.neuralnet.oned.NeuronString Creates a one-dimensional network: Each neuron not located on the border of the mesh has two neurons linked to it. NevilleInterpolator - Class in org.apache.commons.math3.analysis.interpolation Implements the Neville's Algorithm for interpolation of real univariate functions. NevilleInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.NevilleInterpolator newCovarianceData(double[][]) - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression Add the covariance data. newDfp() - Method in class org.apache.commons.math3.dfp.DfpField Makes a Dfp with a value of 0. newDfp(byte) - Method in class org.apache.commons.math3.dfp.DfpField Create an instance from a byte value. newDfp(int) - Method in class org.apache.commons.math3.dfp.DfpField Create an instance from an int value. newDfp(long) - Method in class org.apache.commons.math3.dfp.DfpField Create an instance from a long value. newDfp(double) - Method in class org.apache.commons.math3.dfp.DfpField Create an instance from a double value. newDfp(Dfp) - Method in class org.apache.commons.math3.dfp.DfpField Copy constructor. newDfp(String) - Method in class org.apache.commons.math3.dfp.DfpField Create a Dfp given a String representation. newDfp(byte, byte) - Method in class org.apache.commons.math3.dfp.DfpField Creates a Dfp with a non-finite value. newFixedLengthChromosome(List<T>) - Method in class org.apache.commons.math3.genetics.AbstractListChromosome Creates a new instance of the same class as this is, with a given arrayRepresentation. newInstance() - Method in class org.apache.commons.math3.dfp.Dfp Create an instance with a value of 0. newInstance(byte) - Method in class org.apache.commons.math3.dfp.Dfp Create an instance from a byte value. newInstance(int) - Method in class org.apache.commons.math3.dfp.Dfp Create an instance from an int value. newInstance(long) - Method in class org.apache.commons.math3.dfp.Dfp Create an instance from a long value. newInstance(double) - Method in class org.apache.commons.math3.dfp.Dfp Create an instance from a double value. newInstance(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp Create an instance by copying an existing one. newInstance(String) - Method in class org.apache.commons.math3.dfp.Dfp Create an instance from a String representation. newInstance(byte, byte) - Method in class org.apache.commons.math3.dfp.Dfp Creates an instance with a non-finite value. newInstance() - Method in class org.apache.commons.math3.dfp.DfpDec Create an instance with a value of 0. newInstance(byte) - Method in class org.apache.commons.math3.dfp.DfpDec Create an instance from a byte value. newInstance(int) - Method in class org.apache.commons.math3.dfp.DfpDec Create an instance from an int value. newInstance(long) - Method in class org.apache.commons.math3.dfp.DfpDec Create an instance from a long value. newInstance(double) - Method in class org.apache.commons.math3.dfp.DfpDec Create an instance from a double value. newInstance(Dfp) - Method in class org.apache.commons.math3.dfp.DfpDec Create an instance by copying an existing one. newInstance(String) - Method in class org.apache.commons.math3.dfp.DfpDec Create an instance from a String representation. newInstance(byte, byte) - Method in class org.apache.commons.math3.dfp.DfpDec Creates an instance with a non-finite value. newMarkers(List<Double>, double) - Static method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile A creation method to build Markers newSampleData(double[], int, int) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression Loads model x and y sample data from a flat input array, overriding any previous sample. newSampleData(double[], double[][], double[][]) - Method in class org.apache.commons.math3.stat.regression.GLSMultipleLinearRegression Replace sample data, overriding any previous sample. newSampleData(double[], double[][]) - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression Loads model x and y sample data, overriding any previous sample. newSampleData(double[], int, int) - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression Loads model x and y sample data from a flat input array, overriding any previous sample. NewtonRaphsonSolver - Class in org.apache.commons.math3.analysis.solvers Implements Newton's Method for finding zeros of real univariate differentiable functions. NewtonRaphsonSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.NewtonRaphsonSolver Construct a solver. NewtonRaphsonSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.NewtonRaphsonSolver Construct a solver. NewtonSolver - Class in org.apache.commons.math3.analysis.solvers Deprecated. as of 3.1, replaced by NewtonRaphsonSolver NewtonSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.NewtonSolver Deprecated. Construct a solver. NewtonSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.NewtonSolver Deprecated. Construct a solver. newXSampleData(double[][]) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression Loads new x sample data, overriding any previous data. newXSampleData(double[][]) - Method in class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression Loads new x sample data, overriding any previous data. newYSampleData(double[]) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression Loads new y sample data, overriding any previous data. next() - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapSparseIterator next() - Method in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator next(int) - Method in class org.apache.commons.math3.random.AbstractWell Generate next pseudorandom number. next(int) - Method in class org.apache.commons.math3.random.BitsStreamGenerator Generate next pseudorandom number. next(int) - Method in class org.apache.commons.math3.random.ISAACRandom Generate next pseudorandom number. next(int) - Method in class org.apache.commons.math3.random.MersenneTwister Generate next pseudorandom number. next(int) - Method in class org.apache.commons.math3.random.Well1024a Generate next pseudorandom number. next(int) - Method in class org.apache.commons.math3.random.Well19937a Generate next pseudorandom number. next(int) - Method in class org.apache.commons.math3.random.Well19937c Generate next pseudorandom number. next(int) - Method in class org.apache.commons.math3.random.Well44497a Generate next pseudorandom number. next(int) - Method in class org.apache.commons.math3.random.Well44497b Generate next pseudorandom number. next(int) - Method in class org.apache.commons.math3.random.Well512a Generate next pseudorandom number. next() - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor next() - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator nextAfter(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp Returns the next number greater than this one in the direction of x. nextAfter(Dfp) - Method in class org.apache.commons.math3.dfp.DfpDec Returns the next number greater than this one in the direction of x. nextAfter(double, double) - Static method in class org.apache.commons.math3.util.FastMath Get the next machine representable number after a number, moving in the direction of another number. nextAfter(float, double) - Static method in class org.apache.commons.math3.util.FastMath Get the next machine representable number after a number, moving in the direction of another number. nextBeta(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator Generates a random value from the Beta Distribution. nextBeta(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl Deprecated. Generates a random value from the Beta Distribution. nextBinomial(int, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator Generates a random value from the Binomial Distribution. nextBinomial(int, double) - Method in class org.apache.commons.math3.random.RandomDataImpl Deprecated. Generates a random value from the Binomial Distribution. nextBoolean() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence. nextBoolean() - Method in class org.apache.commons.math3.random.BitsStreamGenerator Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence. nextBoolean() - Method in class org.apache.commons.math3.random.RandomAdaptor Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence. nextBoolean() - Method in interface org.apache.commons.math3.random.RandomGenerator Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence. nextBoolean() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence. nextBytes(byte[]) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator Generates random bytes and places them into a user-supplied byte array. nextBytes(byte[]) - Method in class org.apache.commons.math3.random.BitsStreamGenerator Generates random bytes and places them into a user-supplied array. nextBytes(byte[], int, int) - Method in class org.apache.commons.math3.random.BitsStreamGenerator Generates random bytes and places them into a user-supplied array. nextBytes(byte[]) - Method in class org.apache.commons.math3.random.RandomAdaptor Generates random bytes and places them into a user-supplied byte array. nextBytes(byte[]) - Method in interface org.apache.commons.math3.random.RandomGenerator Generates random bytes and places them into a user-supplied byte array. nextBytes(byte[]) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator Generates random bytes and places them into a user-supplied byte array. nextCauchy(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator Generates a random value from the Cauchy Distribution. nextCauchy(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl Deprecated. Generates a random value from the Cauchy Distribution. nextChiSquare(double) - Method in class org.apache.commons.math3.random.RandomDataGenerator Generates a random value from the ChiSquare Distribution. nextChiSquare(double) - Method in class org.apache.commons.math3.random.RandomDataImpl Deprecated. Generates a random value from the ChiSquare Distribution. nextDouble() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence. nextDouble() - Method in class org.apache.commons.math3.random.BitsStreamGenerator Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence. nextDouble() - Method in class org.apache.commons.math3.random.RandomAdaptor Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence. nextDouble() - Method in interface org.apache.commons.math3.random.RandomGenerator Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence. nextDouble() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence. nextDown(double) - Static method in class org.apache.commons.math3.util.FastMath Compute next number towards negative infinity. nextDown(float) - Static method in class org.apache.commons.math3.util.FastMath Compute next number towards negative infinity. nextExponential(double) - Method in interface org.apache.commons.math3.random.RandomData Deprecated. Generates a random value from the exponential distribution with specified mean. nextExponential(double) - Method in class org.apache.commons.math3.random.RandomDataGenerator Generates a random value from the exponential distribution with specified mean. nextExponential(double) - Method in class org.apache.commons.math3.random.RandomDataImpl Deprecated. Generates a random value from the exponential distribution with specified mean. nextF(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator Generates a random value from the F Distribution. nextF(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl Deprecated. Generates a random value from the F Distribution. nextFloat() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence. nextFloat() - Method in class org.apache.commons.math3.random.BitsStreamGenerator Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence. nextFloat() - Method in class org.apache.commons.math3.random.RandomAdaptor Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence. nextFloat() - Method in interface org.apache.commons.math3.random.RandomGenerator Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence. nextFloat() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence. nextGamma(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator Generates a random value from the Gamma Distribution. nextGamma(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl Deprecated. Generates a random value from the Gamma Distribution. nextGaussian() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence. nextGaussian() - Method in class org.apache.commons.math3.random.BitsStreamGenerator Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence. nextGaussian() - Method in class org.apache.commons.math3.random.RandomAdaptor Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence. nextGaussian(double, double) - Method in interface org.apache.commons.math3.random.RandomData Deprecated. Generates a random value from the Normal (or Gaussian) distribution with specified mean and standard deviation. nextGaussian(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator Generates a random value from the Normal (or Gaussian) distribution with specified mean and standard deviation. nextGaussian(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl Deprecated. Generates a random value from the Normal (or Gaussian) distribution with specified mean and standard deviation. nextGaussian() - Method in interface org.apache.commons.math3.random.RandomGenerator Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence. nextGaussian() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence. nextGeneration() - Method in class org.apache.commons.math3.genetics.ElitisticListPopulation Start the population for the next generation. nextGeneration(Population) - Method in class org.apache.commons.math3.genetics.GeneticAlgorithm Evolve the given population into the next generation. nextGeneration() - Method in interface org.apache.commons.math3.genetics.Population Start the population for the next generation. nextHexString(int) - Method in interface org.apache.commons.math3.random.RandomData Deprecated. Generates a random string of hex characters of length len. nextHexString(int) - Method in class org.apache.commons.math3.random.RandomDataGenerator Generates a random string of hex characters of length len. nextHexString(int) - Method in class org.apache.commons.math3.random.RandomDataImpl Deprecated. Generates a random string of hex characters of length len. nextHypergeometric(int, int, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator Generates a random value from the Hypergeometric Distribution. nextHypergeometric(int, int, int) - Method in class org.apache.commons.math3.random.RandomDataImpl Deprecated. Generates a random value from the Hypergeometric Distribution. nextInt() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence. nextInt(int) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence. nextInt() - Method in class org.apache.commons.math3.random.BitsStreamGenerator Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence. nextInt(int) - Method in class org.apache.commons.math3.random.BitsStreamGenerator Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence. nextInt() - Method in class org.apache.commons.math3.random.RandomAdaptor Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence. nextInt(int) - Method in class org.apache.commons.math3.random.RandomAdaptor Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence. nextInt(int, int) - Method in interface org.apache.commons.math3.random.RandomData Deprecated. Generates a uniformly distributed random integer between lower and upper (endpoints included). nextInt(int, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator Generates a uniformly distributed random integer between lower and upper (endpoints included). nextInt(int, int) - Method in class org.apache.commons.math3.random.RandomDataImpl Deprecated. Generates a uniformly distributed random integer between lower and upper (endpoints included). nextInt() - Method in interface org.apache.commons.math3.random.RandomGenerator Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence. nextInt(int) - Method in interface org.apache.commons.math3.random.RandomGenerator Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence. nextInt() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence. nextInt(int) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence. nextInversionDeviate(RealDistribution) - Method in class org.apache.commons.math3.random.RandomDataImpl Deprecated. use the distribution's sample() method nextInversionDeviate(IntegerDistribution) - Method in class org.apache.commons.math3.random.RandomDataImpl Deprecated. use the distribution's sample() method nextLong() - Method in class org.apache.commons.math3.random.AbstractRandomGenerator Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence. nextLong() - Method in class org.apache.commons.math3.random.BitsStreamGenerator Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence. nextLong(long) - Method in class org.apache.commons.math3.random.BitsStreamGenerator Returns a pseudorandom, uniformly distributed long value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence. nextLong() - Method in class org.apache.commons.math3.random.RandomAdaptor Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence. nextLong(long, long) - Method in interface org.apache.commons.math3.random.RandomData Deprecated. Generates a uniformly distributed random long integer between lower and upper (endpoints included). nextLong(long, long) - Method in class org.apache.commons.math3.random.RandomDataGenerator Generates a uniformly distributed random long integer between lower and upper (endpoints included). nextLong(long, long) - Method in class org.apache.commons.math3.random.RandomDataImpl Deprecated. Generates a uniformly distributed random long integer between lower and upper (endpoints included). nextLong() - Method in interface org.apache.commons.math3.random.RandomGenerator Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence. nextLong() - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence. nextNormalizedDouble() - Method in class org.apache.commons.math3.random.GaussianRandomGenerator Generate a random scalar with null mean and unit standard deviation. nextNormalizedDouble() - Method in interface org.apache.commons.math3.random.NormalizedRandomGenerator Generate a random scalar with null mean and unit standard deviation. nextNormalizedDouble() - Method in class org.apache.commons.math3.random.StableRandomGenerator Generate a random scalar with zero location and unit scale. nextNormalizedDouble() - Method in class org.apache.commons.math3.random.UniformRandomGenerator Generate a random scalar with null mean and unit standard deviation. nextPascal(int, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator Generates a random value from the Pascal Distribution. nextPascal(int, double) - Method in class org.apache.commons.math3.random.RandomDataImpl Deprecated. Generates a random value from the Pascal Distribution. nextPermutation(int, int) - Method in interface org.apache.commons.math3.random.RandomData Deprecated. Generates an integer array of length k whose entries are selected randomly, without repetition, from the integers 0, ..., n - 1 (inclusive). nextPermutation(int, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator Generates an integer array of length k whose entries are selected randomly, without repetition, from the integers 0, ..., n - 1 (inclusive). nextPermutation(int, int) - Method in class org.apache.commons.math3.random.RandomDataImpl Deprecated. Generates an integer array of length k whose entries are selected randomly, without repetition, from the integers 0, ..., n - 1 (inclusive). nextPoisson(double) - Method in interface org.apache.commons.math3.random.RandomData Deprecated. Generates a random value from the Poisson distribution with the given mean. nextPoisson(double) - Method in class org.apache.commons.math3.random.RandomDataGenerator Generates a random value from the Poisson distribution with the given mean. nextPoisson(double) - Method in class org.apache.commons.math3.random.RandomDataImpl Deprecated. Generates a random value from the Poisson distribution with the given mean. nextPrime(int) - Static method in class org.apache.commons.math3.primes.Primes Return the smallest prime greater than or equal to n. nextSample(Collection<?>, int) - Method in interface org.apache.commons.math3.random.RandomData Deprecated. Returns an array of k objects selected randomly from the Collection c. nextSample(Collection<?>, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator Returns an array of k objects selected randomly from the Collection c. nextSample(Collection<?>, int) - Method in class org.apache.commons.math3.random.RandomDataImpl Deprecated. Returns an array of k objects selected randomly from the Collection c. nextSecureHexString(int) - Method in interface org.apache.commons.math3.random.RandomData Deprecated. Generates a random string of hex characters from a secure random sequence. nextSecureHexString(int) - Method in class org.apache.commons.math3.random.RandomDataGenerator Generates a random string of hex characters from a secure random sequence. nextSecureHexString(int) - Method in class org.apache.commons.math3.random.RandomDataImpl Deprecated. Generates a random string of hex characters from a secure random sequence. nextSecureInt(int, int) - Method in interface org.apache.commons.math3.random.RandomData Deprecated. Generates a uniformly distributed random integer between lower and upper (endpoints included) from a secure random sequence. nextSecureInt(int, int) - Method in class org.apache.commons.math3.random.RandomDataGenerator Generates a uniformly distributed random integer between lower and upper (endpoints included) from a secure random sequence. nextSecureInt(int, int) - Method in class org.apache.commons.math3.random.RandomDataImpl Deprecated. Generates a uniformly distributed random integer between lower and upper (endpoints included) from a secure random sequence. nextSecureLong(long, long) - Method in interface org.apache.commons.math3.random.RandomData Deprecated. Generates a uniformly distributed random long integer between lower and upper (endpoints included) from a secure random sequence. nextSecureLong(long, long) - Method in class org.apache.commons.math3.random.RandomDataGenerator Generates a uniformly distributed random long integer between lower and upper (endpoints included) from a secure random sequence. nextSecureLong(long, long) - Method in class org.apache.commons.math3.random.RandomDataImpl Deprecated. Generates a uniformly distributed random long integer between lower and upper (endpoints included) from a secure random sequence. nextT(double) - Method in class org.apache.commons.math3.random.RandomDataGenerator Generates a random value from the T Distribution. nextT(double) - Method in class org.apache.commons.math3.random.RandomDataImpl Deprecated. Generates a random value from the T Distribution. nextUniform(double, double) - Method in interface org.apache.commons.math3.random.RandomData Deprecated. Generates a uniformly distributed random value from the open interval (lower, upper) (i.e., endpoints excluded). nextUniform(double, double, boolean) - Method in interface org.apache.commons.math3.random.RandomData Deprecated. Generates a uniformly distributed random value from the interval (lower, upper) or the interval [lower, upper). nextUniform(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator Generates a uniformly distributed random value from the open interval (lower, upper) (i.e., endpoints excluded). nextUniform(double, double, boolean) - Method in class org.apache.commons.math3.random.RandomDataGenerator Generates a uniformly distributed random value from the interval (lower, upper) or the interval [lower, upper). nextUniform(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl Deprecated. Generates a uniformly distributed random value from the open interval (lower, upper) (i.e., endpoints excluded). nextUniform(double, double, boolean) - Method in class org.apache.commons.math3.random.RandomDataImpl Deprecated. Generates a uniformly distributed random value from the interval (lower, upper) or the interval [lower, upper). nextUp(double) - Static method in class org.apache.commons.math3.util.FastMath Compute next number towards positive infinity. nextUp(float) - Static method in class org.apache.commons.math3.util.FastMath Compute next number towards positive infinity. nextVector() - Method in class org.apache.commons.math3.random.CorrelatedRandomVectorGenerator Generate a correlated random vector. nextVector() - Method in class org.apache.commons.math3.random.HaltonSequenceGenerator Generate a random vector. nextVector() - Method in interface org.apache.commons.math3.random.RandomVectorGenerator Generate a random vector. nextVector() - Method in class org.apache.commons.math3.random.SobolSequenceGenerator Generate a random vector. nextVector() - Method in class org.apache.commons.math3.random.UncorrelatedRandomVectorGenerator Generate an uncorrelated random vector. nextVector() - Method in class org.apache.commons.math3.random.UnitSphereRandomVectorGenerator Generate a random vector. nextWeibull(double, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator Generates a random value from the Weibull Distribution. nextWeibull(double, double) - Method in class org.apache.commons.math3.random.RandomDataImpl Deprecated. Generates a random value from the Weibull Distribution. nextZipf(int, double) - Method in class org.apache.commons.math3.random.RandomDataGenerator Generates a random value from the Zipf Distribution. nextZipf(int, double) - Method in class org.apache.commons.math3.random.RandomDataImpl Deprecated. Generates a random value from the Zipf Distribution. NoBracketingException - Exception in org.apache.commons.math3.exception Exception to be thrown when function values have the same sign at both ends of an interval. NoBracketingException(double, double, double, double) - Constructor for exception org.apache.commons.math3.exception.NoBracketingException Construct the exception. NoBracketingException(Localizable, double, double, double, double, Object...) - Constructor for exception org.apache.commons.math3.exception.NoBracketingException Construct the exception with a specific context. NoDataException - Exception in org.apache.commons.math3.exception Exception to be thrown when the required data is missing. NoDataException() - Constructor for exception org.apache.commons.math3.exception.NoDataException Construct the exception. NoDataException(Localizable) - Constructor for exception org.apache.commons.math3.exception.NoDataException Construct the exception with a specific context. NodesSet<S extends Space> - Class in org.apache.commons.math3.geometry.partitioning Set of BSP tree nodes. NodesSet() - Constructor for class org.apache.commons.math3.geometry.partitioning.NodesSet Simple constructor. NoFeasibleSolutionException - Exception in org.apache.commons.math3.optim.linear This class represents exceptions thrown by optimizers when no solution fulfills the constraints. NoFeasibleSolutionException() - Constructor for exception org.apache.commons.math3.optim.linear.NoFeasibleSolutionException Simple constructor using a default message. NoFeasibleSolutionException - Exception in org.apache.commons.math3.optimization.linear Deprecated. As of 3.1 (to be removed in 4.0). NoFeasibleSolutionException() - Constructor for exception org.apache.commons.math3.optimization.linear.NoFeasibleSolutionException Deprecated. Simple constructor using a default message. NonLinearConjugateGradientOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar.gradient Non-linear conjugate gradient optimizer. NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer Constructor with default tolerances for the line search (1e-8) and preconditioner. NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula, ConvergenceChecker<PointValuePair>, UnivariateSolver) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer Deprecated. as of 3.3. Please use NonLinearConjugateGradientOptimizer.NonLinearConjugateGradientOptimizer(Formula,ConvergenceChecker,double,double,double) instead. NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula, ConvergenceChecker<PointValuePair>, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer Constructor with default preconditioner. NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula, ConvergenceChecker<PointValuePair>, UnivariateSolver, Preconditioner) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer Deprecated. as of 3.3. Please use NonLinearConjugateGradientOptimizer.NonLinearConjugateGradientOptimizer(Formula,ConvergenceChecker,double,double,double,Preconditioner) instead. NonLinearConjugateGradientOptimizer(NonLinearConjugateGradientOptimizer.Formula, ConvergenceChecker<PointValuePair>, double, double, double, Preconditioner) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer NonLinearConjugateGradientOptimizer - Class in org.apache.commons.math3.optimization.general Deprecated. As of 3.1 (to be removed in 4.0). NonLinearConjugateGradientOptimizer(ConjugateGradientFormula) - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer Deprecated. See SimpleValueChecker.SimpleValueChecker() NonLinearConjugateGradientOptimizer(ConjugateGradientFormula, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer Deprecated. Constructor with default line search solver and preconditioner. NonLinearConjugateGradientOptimizer(ConjugateGradientFormula, ConvergenceChecker<PointValuePair>, UnivariateSolver) - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer Deprecated. Constructor with default preconditioner. NonLinearConjugateGradientOptimizer(ConjugateGradientFormula, ConvergenceChecker<PointValuePair>, UnivariateSolver, Preconditioner) - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer Deprecated. NonLinearConjugateGradientOptimizer.BracketingStep - Class in org.apache.commons.math3.optim.nonlinear.scalar.gradient Deprecated. As of v3.3, this class is not used anymore. This setting is replaced by the initialBracketingRange argument to the new constructors. NonLinearConjugateGradientOptimizer.BracketingStep(double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.BracketingStep Deprecated. NonLinearConjugateGradientOptimizer.Formula - Enum in org.apache.commons.math3.optim.nonlinear.scalar.gradient Available choices of update formulas for the updating the parameter that is used to compute the successive conjugate search directions. NonLinearConjugateGradientOptimizer.IdentityPreconditioner - Class in org.apache.commons.math3.optim.nonlinear.scalar.gradient Default identity preconditioner. NonLinearConjugateGradientOptimizer.IdentityPreconditioner() - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.IdentityPreconditioner NonLinearConjugateGradientOptimizer.IdentityPreconditioner - Class in org.apache.commons.math3.optimization.general Deprecated. Default identity preconditioner. NonLinearConjugateGradientOptimizer.IdentityPreconditioner() - Constructor for class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer.IdentityPreconditioner Deprecated. NonMonotonicSequenceException - Exception in org.apache.commons.math3.exception Exception to be thrown when the a sequence of values is not monotonically increasing or decreasing. NonMonotonicSequenceException(Number, Number, int) - Constructor for exception org.apache.commons.math3.exception.NonMonotonicSequenceException Construct the exception. NonMonotonicSequenceException(Number, Number, int, MathArrays.OrderDirection, boolean) - Constructor for exception org.apache.commons.math3.exception.NonMonotonicSequenceException Construct the exception. NonNegativeConstraint - Class in org.apache.commons.math3.optim.linear A constraint for a linear optimization problem indicating whether all variables must be restricted to non-negative values. NonNegativeConstraint(boolean) - Constructor for class org.apache.commons.math3.optim.linear.NonNegativeConstraint NonPositiveDefiniteMatrixException - Exception in org.apache.commons.math3.linear Exception to be thrown when a positive definite matrix is expected. NonPositiveDefiniteMatrixException(double, int, double) - Constructor for exception org.apache.commons.math3.linear.NonPositiveDefiniteMatrixException Construct an exception. NonPositiveDefiniteOperatorException - Exception in org.apache.commons.math3.linear Exception to be thrown when a symmetric, definite positive RealLinearOperator is expected. NonPositiveDefiniteOperatorException() - Constructor for exception org.apache.commons.math3.linear.NonPositiveDefiniteOperatorException Creates a new instance of this class. NonSelfAdjointOperatorException - Exception in org.apache.commons.math3.linear Exception to be thrown when a self-adjoint RealLinearOperator is expected. NonSelfAdjointOperatorException() - Constructor for exception org.apache.commons.math3.linear.NonSelfAdjointOperatorException Creates a new instance of this class. NonSquareMatrixException - Exception in org.apache.commons.math3.linear Exception to be thrown when a square matrix is expected. NonSquareMatrixException(int, int) - Constructor for exception org.apache.commons.math3.linear.NonSquareMatrixException Construct an exception from the mismatched dimensions. NonSquareOperatorException - Exception in org.apache.commons.math3.linear Exception to be thrown when a square linear operator is expected. NonSquareOperatorException(int, int) - Constructor for exception org.apache.commons.math3.linear.NonSquareOperatorException Construct an exception from the mismatched dimensions. NonSymmetricMatrixException - Exception in org.apache.commons.math3.linear Exception to be thrown when a symmetric matrix is expected. NonSymmetricMatrixException(int, int, double) - Constructor for exception org.apache.commons.math3.linear.NonSymmetricMatrixException Construct an exception. nordsieck - Variable in class org.apache.commons.math3.ode.MultistepFieldIntegrator Nordsieck matrix of the higher scaled derivatives. nordsieck - Variable in class org.apache.commons.math3.ode.MultistepIntegrator Nordsieck matrix of the higher scaled derivatives. NordsieckStepInterpolator - Class in org.apache.commons.math3.ode.sampling This class implements an interpolator for integrators using Nordsieck representation. NordsieckStepInterpolator() - Constructor for class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator Simple constructor. NordsieckStepInterpolator(NordsieckStepInterpolator) - Constructor for class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator Copy constructor. normalApproximateProbability(int) - Method in class org.apache.commons.math3.distribution.PoissonDistribution Calculates the Poisson distribution function using a normal approximation. NormalApproximationInterval - Class in org.apache.commons.math3.stat.interval Implements the normal approximation method for creating a binomial proportion confidence interval. NormalApproximationInterval() - Constructor for class org.apache.commons.math3.stat.interval.NormalApproximationInterval NormalDistribution - Class in org.apache.commons.math3.distribution Implementation of the normal (gaussian) distribution. NormalDistribution() - Constructor for class org.apache.commons.math3.distribution.NormalDistribution Create a normal distribution with mean equal to zero and standard deviation equal to one. NormalDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.NormalDistribution Create a normal distribution using the given mean and standard deviation. NormalDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.NormalDistribution Create a normal distribution using the given mean, standard deviation and inverse cumulative distribution accuracy. NormalDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.NormalDistribution Creates a normal distribution. NormalDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.NormalDistribution Creates a normal distribution. normalize() - Method in class org.apache.commons.math3.complex.Quaternion Computes the normalized quaternion (the versor of the instance). normalize() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D Get a normalized vector aligned with the instance. normalize() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Get a normalized vector aligned with the instance. normalize() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Get a normalized vector aligned with the instance. normalize() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Get a normalized vector aligned with the instance. normalize() - Method in interface org.apache.commons.math3.geometry.Vector Get a normalized vector aligned with the instance. normalize(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils Normalize (standardize) the sample, so it is has a mean of 0 and a standard deviation of 1. normalizeAngle(double, double) - Static method in class org.apache.commons.math3.util.MathUtils Normalize an angle in a 2π wide interval around a center value. normalizeArray(double[], double) - Static method in class org.apache.commons.math3.util.MathArrays Normalizes an array to make it sum to a specified value. NormalizedRandomGenerator - Interface in org.apache.commons.math3.random This interface represent a normalized random generator for scalars. NotANumberException - Exception in org.apache.commons.math3.exception Exception to be thrown when a number is not a number. NotANumberException() - Constructor for exception org.apache.commons.math3.exception.NotANumberException Construct the exception. NotARotationMatrixException - Exception in org.apache.commons.math3.geometry.euclidean.threed This class represents exceptions thrown while building rotations from matrices. NotARotationMatrixException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.geometry.euclidean.threed.NotARotationMatrixException Simple constructor. NotFiniteNumberException - Exception in org.apache.commons.math3.exception Exception to be thrown when a number is not finite. NotFiniteNumberException(Number, Object...) - Constructor for exception org.apache.commons.math3.exception.NotFiniteNumberException Construct the exception. NotFiniteNumberException(Localizable, Number, Object...) - Constructor for exception org.apache.commons.math3.exception.NotFiniteNumberException Construct the exception with a specific context. NotPositiveException - Exception in org.apache.commons.math3.exception Exception to be thrown when the argument is negative. NotPositiveException(Number) - Constructor for exception org.apache.commons.math3.exception.NotPositiveException Construct the exception. NotPositiveException(Localizable, Number) - Constructor for exception org.apache.commons.math3.exception.NotPositiveException Construct the exception with a specific context. NotStrictlyPositiveException - Exception in org.apache.commons.math3.exception Exception to be thrown when the argument is not greater than 0. NotStrictlyPositiveException(Number) - Constructor for exception org.apache.commons.math3.exception.NotStrictlyPositiveException Construct the exception. NotStrictlyPositiveException(Localizable, Number) - Constructor for exception org.apache.commons.math3.exception.NotStrictlyPositiveException Construct the exception with a specific context. NPointCrossover<T> - Class in org.apache.commons.math3.genetics N-point crossover policy. NPointCrossover(int) - Constructor for class org.apache.commons.math3.genetics.NPointCrossover Creates a new NPointCrossover policy using the given number of points. nthRoot(int) - Method in class org.apache.commons.math3.complex.Complex Computes the n-th roots of this complex number. NullArgumentException - Exception in org.apache.commons.math3.exception All conditions checks that fail due to a null argument must throw this exception. NullArgumentException() - Constructor for exception org.apache.commons.math3.exception.NullArgumentException Default constructor. NullArgumentException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.NullArgumentException NumberIsTooLargeException - Exception in org.apache.commons.math3.exception Exception to be thrown when a number is too large. NumberIsTooLargeException(Number, Number, boolean) - Constructor for exception org.apache.commons.math3.exception.NumberIsTooLargeException Construct the exception. NumberIsTooLargeException(Localizable, Number, Number, boolean) - Constructor for exception org.apache.commons.math3.exception.NumberIsTooLargeException Construct the exception with a specific context. NumberIsTooSmallException - Exception in org.apache.commons.math3.exception Exception to be thrown when a number is too small. NumberIsTooSmallException(Number, Number, boolean) - Constructor for exception org.apache.commons.math3.exception.NumberIsTooSmallException Construct the exception. NumberIsTooSmallException(Localizable, Number, Number, boolean) - Constructor for exception org.apache.commons.math3.exception.NumberIsTooSmallException Construct the exception with a specific context. NumberTransformer - Interface in org.apache.commons.math3.util Subclasses implementing this interface can transform Objects to doubles. numVars() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Find the number of variables. O objective - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer Deprecated. As of 3.1. ObjectiveFunction - Class in org.apache.commons.math3.optim.nonlinear.scalar Scalar function to be optimized. ObjectiveFunction(MultivariateFunction) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunction ObjectiveFunctionGradient - Class in org.apache.commons.math3.optim.nonlinear.scalar Gradient of the scalar function to be optimized. ObjectiveFunctionGradient(MultivariateVectorFunction) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.ObjectiveFunctionGradient OCTAVE_FORMAT - Static variable in class org.apache.commons.math3.linear.MatrixUtils A format for RealMatrix objects compatible with octave. ODEIntegrator - Interface in org.apache.commons.math3.ode This interface defines the common parts shared by integrators for first and second order differential equations. OLSMultipleLinearRegression - Class in org.apache.commons.math3.stat.regression Implements ordinary least squares (OLS) to estimate the parameters of a multiple linear regression model. OLSMultipleLinearRegression() - Constructor for class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression Create an empty OLSMultipleLinearRegression instance. OLSMultipleLinearRegression(double) - Constructor for class org.apache.commons.math3.stat.regression.OLSMultipleLinearRegression Create an empty OLSMultipleLinearRegression instance, using the given singularity threshold for the QR decomposition. ONE - Static variable in class org.apache.commons.math3.complex.Complex A complex number representing "1.0 + 0.0i" ONE - Static variable in class org.apache.commons.math3.fraction.BigFraction A fraction representing "1". ONE - Static variable in class org.apache.commons.math3.fraction.Fraction A fraction representing "1". ONE - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D Unit (coordinates: 1). ONE - Static variable in class org.apache.commons.math3.util.BigReal A big real representing 1. ONE - Static variable in class org.apache.commons.math3.util.Decimal64 The constant value of 1d as a Decimal64. ONE_FIFTH - Static variable in class org.apache.commons.math3.fraction.BigFraction A fraction representing "1/5". ONE_FIFTH - Static variable in class org.apache.commons.math3.fraction.Fraction A fraction representing "1/5". ONE_HALF - Static variable in class org.apache.commons.math3.fraction.BigFraction A fraction representing "1/2". ONE_HALF - Static variable in class org.apache.commons.math3.fraction.Fraction A fraction representing "1/2". ONE_QUARTER - Static variable in class org.apache.commons.math3.fraction.BigFraction A fraction representing "1/4". ONE_QUARTER - Static variable in class org.apache.commons.math3.fraction.Fraction A fraction representing "1/4". ONE_THIRD - Static variable in class org.apache.commons.math3.fraction.BigFraction A fraction representing "1/3". ONE_THIRD - Static variable in class org.apache.commons.math3.fraction.Fraction A fraction representing "1/3". OnePointCrossover<T> - Class in org.apache.commons.math3.genetics One point crossover policy. OnePointCrossover() - Constructor for class org.apache.commons.math3.genetics.OnePointCrossover OneWayAnova - Class in org.apache.commons.math3.stat.inference Implements one-way ANOVA (analysis of variance) statistics. OneWayAnova() - Constructor for class org.apache.commons.math3.stat.inference.OneWayAnova Default constructor. oneWayAnovaFValue(Collection<double[]>) - Static method in class org.apache.commons.math3.stat.inference.TestUtils oneWayAnovaPValue(Collection<double[]>) - Static method in class org.apache.commons.math3.stat.inference.TestUtils oneWayAnovaTest(Collection<double[]>, double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils OpenIntToDoubleHashMap - Class in org.apache.commons.math3.util Open addressed map from int to double. OpenIntToDoubleHashMap() - Constructor for class org.apache.commons.math3.util.OpenIntToDoubleHashMap Build an empty map with default size and using NaN for missing entries. OpenIntToDoubleHashMap(double) - Constructor for class org.apache.commons.math3.util.OpenIntToDoubleHashMap Build an empty map with default size OpenIntToDoubleHashMap(int) - Constructor for class org.apache.commons.math3.util.OpenIntToDoubleHashMap Build an empty map with specified size and using NaN for missing entries. OpenIntToDoubleHashMap(int, double) - Constructor for class org.apache.commons.math3.util.OpenIntToDoubleHashMap Build an empty map with specified size. OpenIntToDoubleHashMap(OpenIntToDoubleHashMap) - Constructor for class org.apache.commons.math3.util.OpenIntToDoubleHashMap Copy constructor. OpenIntToDoubleHashMap.Iterator - Class in org.apache.commons.math3.util Iterator class for the map. OpenIntToFieldHashMap<T extends FieldElement<T>> - Class in org.apache.commons.math3.util Open addressed map from int to FieldElement. OpenIntToFieldHashMap(Field<T>) - Constructor for class org.apache.commons.math3.util.OpenIntToFieldHashMap Build an empty map with default size and using zero for missing entries. OpenIntToFieldHashMap(Field<T>, T) - Constructor for class org.apache.commons.math3.util.OpenIntToFieldHashMap Build an empty map with default size OpenIntToFieldHashMap(Field<T>, int) - Constructor for class org.apache.commons.math3.util.OpenIntToFieldHashMap Build an empty map with specified size and using zero for missing entries. OpenIntToFieldHashMap(Field<T>, int, T) - Constructor for class org.apache.commons.math3.util.OpenIntToFieldHashMap Build an empty map with specified size. OpenIntToFieldHashMap(OpenIntToFieldHashMap<T>) - Constructor for class org.apache.commons.math3.util.OpenIntToFieldHashMap Copy constructor. OpenIntToFieldHashMap.Iterator - Class in org.apache.commons.math3.util Iterator class for the map. OpenMapRealMatrix - Class in org.apache.commons.math3.linear Sparse matrix implementation based on an open addressed map. OpenMapRealMatrix(int, int) - Constructor for class org.apache.commons.math3.linear.OpenMapRealMatrix Build a sparse matrix with the supplied row and column dimensions. OpenMapRealMatrix(OpenMapRealMatrix) - Constructor for class org.apache.commons.math3.linear.OpenMapRealMatrix Build a matrix by copying another one. OpenMapRealVector - Class in org.apache.commons.math3.linear This class implements the RealVector interface with a OpenIntToDoubleHashMap backing store. OpenMapRealVector() - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector Build a 0-length vector. OpenMapRealVector(int) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector Construct a vector of zeroes. OpenMapRealVector(int, double) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector Construct a vector of zeroes, specifying zero tolerance. OpenMapRealVector(OpenMapRealVector, int) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector Build a resized vector, for use with append. OpenMapRealVector(int, int) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector Build a vector with known the sparseness (for advanced use only). OpenMapRealVector(int, int, double) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector Build a vector with known the sparseness and zero tolerance setting (for advanced use only). OpenMapRealVector(double[]) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector Create from an array. OpenMapRealVector(double[], double) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector Create from an array, specifying zero tolerance. OpenMapRealVector(Double[]) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector Create from an array. OpenMapRealVector(Double[], double) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector Create from an array. OpenMapRealVector(OpenMapRealVector) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector Copy constructor. OpenMapRealVector(RealVector) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector Generic copy constructor. OpenMapRealVector.OpenMapEntry - Class in org.apache.commons.math3.linear Implementation of Entry optimized for OpenMap. OpenMapRealVector.OpenMapEntry(OpenIntToDoubleHashMap.Iterator) - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapEntry Build an entry from an iterator point to an element. OpenMapRealVector.OpenMapSparseIterator - Class in org.apache.commons.math3.linear Iterator class to do iteration over just the non-zero elements. OpenMapRealVector.OpenMapSparseIterator() - Constructor for class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapSparseIterator Simple constructor. operate(T[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Returns the result of multiplying this by the vector v. operate(FieldVector<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Returns the result of multiplying this by the vector v. operate(double[]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Returns the result of multiplying this by the vector v. operate(RealVector) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Returns the result of multiplying this by the vector x. operate(T[]) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix Returns the result of multiplying this by the vector v. operate(double[]) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix Returns the result of multiplying this by the vector v. operate(T[]) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Returns the result of multiplying this by the vector v. operate(double[]) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Returns the result of multiplying this by the vector v. operate(double[]) - Method in class org.apache.commons.math3.linear.DiagonalMatrix Returns the result of multiplying this by the vector v. operate(T[]) - Method in interface org.apache.commons.math3.linear.FieldMatrix Returns the result of multiplying this by the vector v. operate(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix Returns the result of multiplying this by the vector v. operate(RealVector) - Method in class org.apache.commons.math3.linear.JacobiPreconditioner Returns the result of multiplying this by the vector x. operate(RealVector) - Method in class org.apache.commons.math3.linear.RealLinearOperator Returns the result of multiplying this by the vector x. operate(double[]) - Method in interface org.apache.commons.math3.linear.RealMatrix Returns the result of multiplying this by the vector v. operate(RealVector) - Method in interface org.apache.commons.math3.linear.RealMatrix Returns the result of multiplying this by the vector v. operateTranspose(RealVector) - Method in class org.apache.commons.math3.linear.RealLinearOperator Returns the result of multiplying the transpose of this operator by the vector x (optional operation). OPERATOR - Static variable in class org.apache.commons.math3.linear.ConjugateGradient Key for the exception context. oppositeRelationship() - Method in enum org.apache.commons.math3.optim.linear.Relationship Gets the relationship obtained when multiplying all coefficients by -1. oppositeRelationship() - Method in enum org.apache.commons.math3.optimization.linear.Relationship Deprecated. Get the relationship obtained when multiplying all coefficients by -1. OptimizationData - Interface in org.apache.commons.math3.optim Marker interface. OptimizationData - Interface in org.apache.commons.math3.optimization Deprecated. As of 3.1 (to be removed in 4.0). OptimizationProblem<PAIR> - Interface in org.apache.commons.math3.optim Common settings for all optimization problems. optimize(LeastSquaresProblem) - Method in class org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer Solve the non-linear least squares problem. optimize(LeastSquaresProblem) - Method in interface org.apache.commons.math3.fitting.leastsquares.LeastSquaresOptimizer Solve the non-linear least squares problem. optimize(LeastSquaresProblem) - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer Solve the non-linear least squares problem. optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer Stores data and performs the optimization. optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer Stores data and performs the optimization. optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.BaseOptimizer Stores data and performs the optimization. optimize() - Method in class org.apache.commons.math3.optim.BaseOptimizer Performs the optimization. optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.linear.LinearOptimizer Stores data and performs the optimization. optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.linear.SimplexSolver Stores data and performs the optimization. optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer Stores data and performs the optimization. optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.GradientMultivariateOptimizer Stores data and performs the optimization. optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer Stores data and performs the optimization. optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer Stores data and performs the optimization. optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer Stores data and performs the optimization. optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer Deprecated. Stores data and performs the optimization. optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.JacobianMultivariateVectorOptimizer Deprecated. Stores data and performs the optimization. optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer Deprecated. Stores data and performs the optimization. optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.univariate.MultiStartUnivariateOptimizer Stores data and performs the optimization. optimize(OptimizationData...) - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer Stores data and performs the optimization. optimize(int, FUNC, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.BaseMultivariateMultiStartOptimizer Deprecated. Optimize an objective function. optimize(int, FUNC, GoalType, double[]) - Method in interface org.apache.commons.math3.optimization.BaseMultivariateOptimizer Deprecated. As of 3.1. In 4.0, it will be replaced by the declaration corresponding to this method. optimize(int, FUNC, GoalType, double[], double[], double[]) - Method in interface org.apache.commons.math3.optimization.BaseMultivariateSimpleBoundsOptimizer Deprecated. Optimize an objective function. optimize(int, FUNC, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.BaseMultivariateVectorMultiStartOptimizer Deprecated. Optimize an objective function. optimize(int, FUNC, double[], double[], double[]) - Method in interface org.apache.commons.math3.optimization.BaseMultivariateVectorOptimizer Deprecated. As of 3.1. In 4.0, this will be replaced by the declaration corresponding to this method. optimize(int, FUNC, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer Deprecated. As of 3.1. Please use BaseAbstractMultivariateOptimizer.optimize(int,MultivariateFunction,GoalType,OptimizationData[]) instead. optimize(int, FUNC, GoalType, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer Deprecated. Optimize an objective function. optimize(int, FUNC, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateSimpleBoundsOptimizer Deprecated. Optimize an objective function. optimize(int, FUNC, GoalType, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateSimpleBoundsOptimizer Deprecated. Optimize an objective function. optimize(int, FUNC, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer Deprecated. As of 3.1. Please use BaseAbstractMultivariateVectorOptimizer.optimize(int,MultivariateVectorFunction,OptimizationData[]) instead. optimize(int, FUNC, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer Deprecated. Optimize an objective function. optimize(int, DifferentiableMultivariateVectorFunction, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer Deprecated. As of 3.1. Please use optimize(int,MultivariateDifferentiableVectorFunction,OptimizationData...) instead. optimize(int, MultivariateDifferentiableVectorFunction, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer Deprecated. As of 3.1. Please use optimize(int,MultivariateDifferentiableVectorFunction,OptimizationData...) instead. optimize(int, MultivariateDifferentiableFunction, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer Deprecated. Optimize an objective function. optimize(LinearObjectiveFunction, Collection<LinearConstraint>, GoalType, boolean) - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer Deprecated. Optimizes an objective function. optimize(LinearObjectiveFunction, Collection<LinearConstraint>, GoalType, boolean) - Method in interface org.apache.commons.math3.optimization.linear.LinearOptimizer Deprecated. Optimizes an objective function. optimize(int, UnivariateFunction, GoalType, double, double, double) - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer Deprecated. Find an optimum in the given interval, start at startValue. optimize(int, UnivariateFunction, GoalType, double, double) - Method in class org.apache.commons.math3.optimization.univariate.BaseAbstractUnivariateOptimizer Deprecated. Find an optimum in the given interval. optimize(int, FUNC, GoalType, double, double) - Method in interface org.apache.commons.math3.optimization.univariate.BaseUnivariateOptimizer Deprecated. Find an optimum in the given interval. optimize(int, FUNC, GoalType, double, double, double) - Method in interface org.apache.commons.math3.optimization.univariate.BaseUnivariateOptimizer Deprecated. Find an optimum in the given interval, start at startValue. optimize(int, FUNC, GoalType, double, double) - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer Deprecated. Find an optimum in the given interval. optimize(int, FUNC, GoalType, double, double, double) - Method in class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer Deprecated. Find an optimum in the given interval, start at startValue. optimizeInternal(int, FUNC, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer Deprecated. As of 3.1. Please use BaseAbstractMultivariateOptimizer.optimize(int,MultivariateFunction,GoalType,OptimizationData[]) instead. optimizeInternal(int, FUNC, GoalType, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateOptimizer Deprecated. Optimize an objective function. optimizeInternal(int, FUNC, double[], double[], double[]) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer Deprecated. As of 3.1. Please use BaseAbstractMultivariateVectorOptimizer.optimizeInternal(int,MultivariateVectorFunction,OptimizationData[]) instead. optimizeInternal(int, FUNC, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer Deprecated. Optimize an objective function. optimizeInternal(int, MultivariateFunction, GoalType, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.CMAESOptimizer Deprecated. Optimize an objective function. optimizeInternal(int, MultivariateFunction, GoalType, OptimizationData...) - Method in class org.apache.commons.math3.optimization.direct.SimplexOptimizer Deprecated. Optimize an objective function. optimizeInternal(int, MultivariateDifferentiableFunction, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractDifferentiableOptimizer Deprecated. In 3.1. Please use AbstractDifferentiableOptimizer.optimizeInternal(int,MultivariateDifferentiableFunction,GoalType,OptimizationData[]) instead. optimizeInternal(int, MultivariateDifferentiableFunction, GoalType, OptimizationData...) - Method in class org.apache.commons.math3.optimization.general.AbstractDifferentiableOptimizer Deprecated. Optimize an objective function. optimizeInternal(int, MultivariateDifferentiableVectorFunction, OptimizationData...) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer Deprecated. As of 3.1. Override is necessary only until this class's generic argument is changed to MultivariateDifferentiableVectorFunction. optimizeInternal(int, DifferentiableMultivariateFunction, GoalType, double[]) - Method in class org.apache.commons.math3.optimization.general.AbstractScalarDifferentiableOptimizer Deprecated. Optimize an objective function. OrderedCrossover<T> - Class in org.apache.commons.math3.genetics Order 1 Crossover [OX1] builds offspring from ordered chromosomes by copying a consecutive slice from one parent, and filling up the remaining genes from the other parent as they appear. OrderedCrossover() - Constructor for class org.apache.commons.math3.genetics.OrderedCrossover OrderedTuple - Class in org.apache.commons.math3.geometry.partitioning.utilities Deprecated. as of 3.4, this class is not used anymore and considered to be out of scope of Apache Commons Math OrderedTuple(double...) - Constructor for class org.apache.commons.math3.geometry.partitioning.utilities.OrderedTuple Deprecated. Build an ordered T-uple from its components. org.apache.commons.math3 - package org.apache.commons.math3 Common classes used throughout the commons-math library. org.apache.commons.math3.analysis - package org.apache.commons.math3.analysis Parent package for common numerical analysis procedures, including root finding, function interpolation and integration. org.apache.commons.math3.analysis.differentiation - package org.apache.commons.math3.analysis.differentiation This package holds the main interfaces and basic building block classes dealing with differentiation. org.apache.commons.math3.analysis.function - package org.apache.commons.math3.analysis.function The function package contains function objects that wrap the methods contained in Math, as well as common mathematical functions such as the gaussian and sinc functions. org.apache.commons.math3.analysis.integration - package org.apache.commons.math3.analysis.integration Numerical integration (quadrature) algorithms for univariate real functions. org.apache.commons.math3.analysis.integration.gauss - package org.apache.commons.math3.analysis.integration.gauss Gauss family of quadrature schemes. org.apache.commons.math3.analysis.interpolation - package org.apache.commons.math3.analysis.interpolation Univariate real functions interpolation algorithms. org.apache.commons.math3.analysis.polynomials - package org.apache.commons.math3.analysis.polynomials Univariate real polynomials implementations, seen as differentiable univariate real functions. org.apache.commons.math3.analysis.solvers - package org.apache.commons.math3.analysis.solvers Root finding algorithms, for univariate real functions. org.apache.commons.math3.complex - package org.apache.commons.math3.complex Complex number type and implementations of complex transcendental functions. org.apache.commons.math3.dfp - package org.apache.commons.math3.dfp Decimal floating point library for Java org.apache.commons.math3.distribution - package org.apache.commons.math3.distribution Implementations of common discrete and continuous distributions. org.apache.commons.math3.distribution.fitting - package org.apache.commons.math3.distribution.fitting Fitting of parameters against distributions. org.apache.commons.math3.exception - package org.apache.commons.math3.exception Specialized exceptions for algorithms errors. org.apache.commons.math3.exception.util - package org.apache.commons.math3.exception.util Classes supporting exception localization. org.apache.commons.math3.filter - package org.apache.commons.math3.filter Implementations of common discrete-time linear filters. org.apache.commons.math3.fitting - package org.apache.commons.math3.fitting Classes to perform curve fitting. org.apache.commons.math3.fitting.leastsquares - package org.apache.commons.math3.fitting.leastsquares This package provides algorithms that minimize the residuals between observations and model values. org.apache.commons.math3.fraction - package org.apache.commons.math3.fraction Fraction number type and fraction number formatting. org.apache.commons.math3.genetics - package org.apache.commons.math3.genetics This package provides Genetic Algorithms components and implementations. org.apache.commons.math3.geometry - package org.apache.commons.math3.geometry This package is the top level package for geometry. org.apache.commons.math3.geometry.enclosing - package org.apache.commons.math3.geometry.enclosing This package provides interfaces and classes related to the smallest enclosing ball problem. org.apache.commons.math3.geometry.euclidean.oned - package org.apache.commons.math3.geometry.euclidean.oned This package provides basic 1D geometry components. org.apache.commons.math3.geometry.euclidean.threed - package org.apache.commons.math3.geometry.euclidean.threed This package provides basic 3D geometry components. org.apache.commons.math3.geometry.euclidean.twod - package org.apache.commons.math3.geometry.euclidean.twod This package provides basic 2D geometry components. org.apache.commons.math3.geometry.euclidean.twod.hull - package org.apache.commons.math3.geometry.euclidean.twod.hull This package provides algorithms to generate the convex hull for a set of points in an two-dimensional euclidean space. org.apache.commons.math3.geometry.hull - package org.apache.commons.math3.geometry.hull This package provides interfaces and classes related to the convex hull problem. org.apache.commons.math3.geometry.partitioning - package org.apache.commons.math3.geometry.partitioning This package provides classes to implement Binary Space Partition trees. org.apache.commons.math3.geometry.partitioning.utilities - package org.apache.commons.math3.geometry.partitioning.utilities This package provides multidimensional ordering features for partitioning. org.apache.commons.math3.geometry.spherical.oned - package org.apache.commons.math3.geometry.spherical.oned This package provides basic geometry components on the 1-sphere. org.apache.commons.math3.geometry.spherical.twod - package org.apache.commons.math3.geometry.spherical.twod This package provides basic geometry components on the 2-sphere. org.apache.commons.math3.linear - package org.apache.commons.math3.linear Linear algebra support. org.apache.commons.math3.ml - package org.apache.commons.math3.ml Base package for machine learning algorithms. org.apache.commons.math3.ml.clustering - package org.apache.commons.math3.ml.clustering Clustering algorithms. org.apache.commons.math3.ml.clustering.evaluation - package org.apache.commons.math3.ml.clustering.evaluation Cluster evaluation methods. org.apache.commons.math3.ml.distance - package org.apache.commons.math3.ml.distance Common distance measures. org.apache.commons.math3.ml.neuralnet - package org.apache.commons.math3.ml.neuralnet Neural networks. org.apache.commons.math3.ml.neuralnet.oned - package org.apache.commons.math3.ml.neuralnet.oned One-dimensional neural networks. org.apache.commons.math3.ml.neuralnet.sofm - package org.apache.commons.math3.ml.neuralnet.sofm Self Organizing Feature Map. org.apache.commons.math3.ml.neuralnet.sofm.util - package org.apache.commons.math3.ml.neuralnet.sofm.util Miscellaneous utilities. org.apache.commons.math3.ml.neuralnet.twod - package org.apache.commons.math3.ml.neuralnet.twod Two-dimensional neural networks. org.apache.commons.math3.ml.neuralnet.twod.util - package org.apache.commons.math3.ml.neuralnet.twod.util Utilities to visualize two-dimensional neural networks. org.apache.commons.math3.ode - package org.apache.commons.math3.ode This package provides classes to solve Ordinary Differential Equations problems. org.apache.commons.math3.ode.events - package org.apache.commons.math3.ode.events This package provides classes to handle discrete events occurring during Ordinary Differential Equations integration. org.apache.commons.math3.ode.nonstiff - package org.apache.commons.math3.ode.nonstiff This package provides classes to solve non-stiff Ordinary Differential Equations problems. org.apache.commons.math3.ode.sampling - package org.apache.commons.math3.ode.sampling This package provides classes to handle sampling steps during Ordinary Differential Equations integration. org.apache.commons.math3.optim - package org.apache.commons.math3.optim Generally, optimizers are algorithms that will either minimize or maximize a scalar function, called the objective function. org.apache.commons.math3.optim.linear - package org.apache.commons.math3.optim.linear Optimization algorithms for linear constrained problems. org.apache.commons.math3.optim.nonlinear.scalar - package org.apache.commons.math3.optim.nonlinear.scalar Algorithms for optimizing a scalar function. org.apache.commons.math3.optim.nonlinear.scalar.gradient - package org.apache.commons.math3.optim.nonlinear.scalar.gradient This package provides optimization algorithms that require derivatives. org.apache.commons.math3.optim.nonlinear.scalar.noderiv - package org.apache.commons.math3.optim.nonlinear.scalar.noderiv This package provides optimization algorithms that do not require derivatives. org.apache.commons.math3.optim.nonlinear.vector - package org.apache.commons.math3.optim.nonlinear.vector Algorithms for optimizing a vector function. org.apache.commons.math3.optim.nonlinear.vector.jacobian - package org.apache.commons.math3.optim.nonlinear.vector.jacobian This package provides optimization algorithms that require derivatives. org.apache.commons.math3.optim.univariate - package org.apache.commons.math3.optim.univariate One-dimensional optimization algorithms. org.apache.commons.math3.optimization - package org.apache.commons.math3.optimization All classes and sub-packages of this package are deprecated. org.apache.commons.math3.optimization.direct - package org.apache.commons.math3.optimization.direct This package provides optimization algorithms that don't require derivatives. org.apache.commons.math3.optimization.fitting - package org.apache.commons.math3.optimization.fitting This package provides classes to perform curve fitting. org.apache.commons.math3.optimization.general - package org.apache.commons.math3.optimization.general This package provides optimization algorithms that require derivatives. org.apache.commons.math3.optimization.linear - package org.apache.commons.math3.optimization.linear This package provides optimization algorithms for linear constrained problems. org.apache.commons.math3.optimization.univariate - package org.apache.commons.math3.optimization.univariate Univariate real functions minimum finding algorithms. org.apache.commons.math3.primes - package org.apache.commons.math3.primes Methods related to prime numbers like primality test, factor decomposition. org.apache.commons.math3.random - package org.apache.commons.math3.random Random number and random data generators. org.apache.commons.math3.special - package org.apache.commons.math3.special Implementations of special functions such as Beta and Gamma. org.apache.commons.math3.stat - package org.apache.commons.math3.stat Data storage, manipulation and summary routines. org.apache.commons.math3.stat.clustering - package org.apache.commons.math3.stat.clustering All classes and sub-packages of this package are deprecated. org.apache.commons.math3.stat.correlation - package org.apache.commons.math3.stat.correlation Correlations/Covariance computations. org.apache.commons.math3.stat.descriptive - package org.apache.commons.math3.stat.descriptive Generic univariate summary statistic objects. org.apache.commons.math3.stat.descriptive.moment - package org.apache.commons.math3.stat.descriptive.moment Summary statistics based on moments. org.apache.commons.math3.stat.descriptive.rank - package org.apache.commons.math3.stat.descriptive.rank Summary statistics based on ranks. org.apache.commons.math3.stat.descriptive.summary - package org.apache.commons.math3.stat.descriptive.summary Other summary statistics. org.apache.commons.math3.stat.inference - package org.apache.commons.math3.stat.inference Classes providing hypothesis testing. org.apache.commons.math3.stat.interval - package org.apache.commons.math3.stat.interval Classes providing binomial proportion confidence interval construction. org.apache.commons.math3.stat.ranking - package org.apache.commons.math3.stat.ranking Classes providing rank transformations. org.apache.commons.math3.stat.regression - package org.apache.commons.math3.stat.regression Statistical routines involving multivariate data. org.apache.commons.math3.transform - package org.apache.commons.math3.transform Implementations of transform methods, including Fast Fourier transforms. org.apache.commons.math3.util - package org.apache.commons.math3.util Convenience routines and common data structures used throughout the commons-math library. OrientedPoint - Class in org.apache.commons.math3.geometry.euclidean.oned This class represents a 1D oriented hyperplane. OrientedPoint(Vector1D, boolean, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint Simple constructor. OrientedPoint(Vector1D, boolean) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint Deprecated. as of 3.3, replaced with OrientedPoint.OrientedPoint(Vector1D, boolean, double) orthogonal() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Get a vector orthogonal to the instance. orthogonal() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Get a vector orthogonal to the instance. outerProduct(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Compute the outer product. outerProduct(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Compute the outer product. outerProduct(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector Compute the outer product. outerProduct(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector Compute the outer product. outerProduct(RealVector) - Method in class org.apache.commons.math3.linear.RealVector Compute the outer product. outerProduct(SparseFieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector Optimized method to compute outer product when both vectors are sparse. outerProduct(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector Compute the outer product. OutlineExtractor - Class in org.apache.commons.math3.geometry.euclidean.threed Extractor for polyhedrons sets outlines. OutlineExtractor(Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.OutlineExtractor Build an extractor for a specific projection plane. OutOfRangeException - Exception in org.apache.commons.math3.exception Exception to be thrown when some argument is out of range. OutOfRangeException(Number, Number, Number) - Constructor for exception org.apache.commons.math3.exception.OutOfRangeException Construct an exception from the mismatched dimensions. OutOfRangeException(Localizable, Number, Number, Number) - Constructor for exception org.apache.commons.math3.exception.OutOfRangeException Construct an exception from the mismatched dimensions with a specific context information. P Pair<K,V> - Class in org.apache.commons.math3.util Generic pair. Pair(K, V) - Constructor for class org.apache.commons.math3.util.Pair Create an entry representing a mapping from the specified key to the specified value. Pair(Pair<? extends K, ? extends V>) - Constructor for class org.apache.commons.math3.util.Pair Create an entry representing the same mapping as the specified entry. pairedT(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils pairedT(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest Computes a paired, 2-sample t-statistic based on the data in the input arrays. pairedTTest(double[], double[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils pairedTTest(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils pairedTTest(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest Returns the observed significance level, or p-value, associated with a paired, two-sample, two-tailed t-test based on the data in the input arrays. pairedTTest(double[], double[], double) - Method in class org.apache.commons.math3.stat.inference.TTest Performs a paired t-test evaluating the null hypothesis that the mean of the paired differences between sample1 and sample2 is 0 in favor of the two-sided alternative that the mean paired difference is not equal to 0, with significance level alpha. Parameterizable - Interface in org.apache.commons.math3.ode This interface enables to process any parameterizable object. ParameterizedODE - Interface in org.apache.commons.math3.ode Interface to compute by finite difference Jacobian matrix for some parameter when computing partial derivatives equations. ParameterJacobianProvider - Interface in org.apache.commons.math3.ode Interface to compute exactly Jacobian matrix for some parameter when computing partial derivatives equations. parameterValidator(ParameterValidator) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder Configure the validator of the model parameters. ParameterValidator - Interface in org.apache.commons.math3.fitting.leastsquares Interface for validating a set of model parameters. ParametricUnivariateFunction - Interface in org.apache.commons.math3.analysis An interface representing a real function that depends on one independent variable plus some extra parameters. ParetoDistribution - Class in org.apache.commons.math3.distribution Implementation of the Pareto distribution. ParetoDistribution() - Constructor for class org.apache.commons.math3.distribution.ParetoDistribution Create a Pareto distribution with a scale of 1 and a shape of 1. ParetoDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.ParetoDistribution Create a Pareto distribution using the specified scale and shape. ParetoDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.ParetoDistribution Create a Pareto distribution using the specified scale, shape and inverse cumulative distribution accuracy. ParetoDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.ParetoDistribution Creates a Pareto distribution. ParetoDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.ParetoDistribution Creates a Pareto distribution. parse(String) - Method in class org.apache.commons.math3.complex.ComplexFormat Parses a string to produce a Complex object. parse(String, ParsePosition) - Method in class org.apache.commons.math3.complex.ComplexFormat Parses a string to produce a Complex object. parse(String) - Method in class org.apache.commons.math3.fraction.BigFractionFormat Parses a string to produce a BigFraction object. parse(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.BigFractionFormat Parses a string to produce a BigFraction object. parse(String) - Method in class org.apache.commons.math3.fraction.FractionFormat Parses a string to produce a Fraction object. parse(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.FractionFormat Parses a string to produce a Fraction object. parse(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.ProperBigFractionFormat Parses a string to produce a BigFraction object. parse(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.ProperFractionFormat Parses a string to produce a Fraction object. parse(String) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat Parses a string to produce a Vector object. parse(String, ParsePosition) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat Parses a string to produce a Vector object. parse(String) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat Parses a string to produce a Vector3D object. parse(String, ParsePosition) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat Parses a string to produce a Vector3D object. parse(String) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat Parses a string to produce a Vector object. parse(String, ParsePosition) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat Parses a string to produce a Vector object. parse(String) - Method in class org.apache.commons.math3.geometry.VectorFormat Parses a string to produce a Vector object. parse(String, ParsePosition) - Method in class org.apache.commons.math3.geometry.VectorFormat Parses a string to produce a Vector object. parse(String) - Method in class org.apache.commons.math3.linear.RealMatrixFormat Parse a string to produce a RealMatrix object. parse(String, ParsePosition) - Method in class org.apache.commons.math3.linear.RealMatrixFormat Parse a string to produce a RealMatrix object. parse(String) - Method in class org.apache.commons.math3.linear.RealVectorFormat Parse a string to produce a RealVector object. parse(String, ParsePosition) - Method in class org.apache.commons.math3.linear.RealVectorFormat Parse a string to produce a RealVector object. parseAndIgnoreWhitespace(String, ParsePosition) - Static method in class org.apache.commons.math3.fraction.AbstractFormat Parses source until a non-whitespace character is found. parseAndIgnoreWhitespace(String, ParsePosition) - Static method in class org.apache.commons.math3.util.CompositeFormat Parses source until a non-whitespace character is found. parseCoordinates(int, String, ParsePosition) - Method in class org.apache.commons.math3.geometry.VectorFormat Parses a string to produce an array of coordinates. parseFixedstring(String, String, ParsePosition) - Static method in class org.apache.commons.math3.util.CompositeFormat Parse source for an expected fixed string. parseNextBigInteger(String, ParsePosition) - Method in class org.apache.commons.math3.fraction.BigFractionFormat Parses a string to produce a BigInteger. parseNextCharacter(String, ParsePosition) - Static method in class org.apache.commons.math3.fraction.AbstractFormat Parses source until a non-whitespace character is found. parseNextCharacter(String, ParsePosition) - Static method in class org.apache.commons.math3.util.CompositeFormat Parses source until a non-whitespace character is found. parseNumber(String, NumberFormat, ParsePosition) - Static method in class org.apache.commons.math3.util.CompositeFormat Parses source for a number. parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.BaseMultivariateOptimizer Scans the list of (required and optional) optimization data that characterize the problem. parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.BaseOptimizer Scans the list of (required and optional) optimization data that characterize the problem. parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.linear.LinearOptimizer Scans the list of (required and optional) optimization data that characterize the problem. parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.linear.SimplexSolver Scans the list of (required and optional) optimization data that characterize the problem. parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer Scans the list of (required and optional) optimization data that characterize the problem. parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.GradientMultivariateOptimizer Scans the list of (required and optional) optimization data that characterize the problem. parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer Scans the list of (required and optional) optimization data that characterize the problem. parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.CMAESOptimizer Scans the list of (required and optional) optimization data that characterize the problem. parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer Scans the list of (required and optional) optimization data that characterize the problem. parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer Deprecated. Scans the list of (required and optional) optimization data that characterize the problem. parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.JacobianMultivariateVectorOptimizer Deprecated. Scans the list of (required and optional) optimization data that characterize the problem. parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultivariateVectorOptimizer Deprecated. Scans the list of (required and optional) optimization data that characterize the problem. parseOptimizationData(OptimizationData...) - Method in class org.apache.commons.math3.optim.univariate.UnivariateOptimizer Scans the list of (required and optional) optimization data that characterize the problem. partialDerivative(int) - Method in interface org.apache.commons.math3.analysis.DifferentiableMultivariateFunction Deprecated. Returns the partial derivative of the function with respect to a point coordinate. partialDerivativeX(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction Deprecated. partialDerivativeXX(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction Deprecated. partialDerivativeXY(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction Deprecated. partialDerivativeY(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction Deprecated. partialDerivativeYY(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction Deprecated. PascalDistribution - Class in org.apache.commons.math3.distribution Implementation of the Pascal distribution. PascalDistribution(int, double) - Constructor for class org.apache.commons.math3.distribution.PascalDistribution Create a Pascal distribution with the given number of successes and probability of success. PascalDistribution(RandomGenerator, int, double) - Constructor for class org.apache.commons.math3.distribution.PascalDistribution Create a Pascal distribution with the given number of successes and probability of success. PearsonsCorrelation - Class in org.apache.commons.math3.stat.correlation Computes Pearson's product-moment correlation coefficients for pairs of arrays or columns of a matrix. PearsonsCorrelation() - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation Create a PearsonsCorrelation instance without data. PearsonsCorrelation(double[][]) - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation Create a PearsonsCorrelation from a rectangular array whose columns represent values of variables to be correlated. PearsonsCorrelation(RealMatrix) - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation Create a PearsonsCorrelation from a RealMatrix whose columns represent variables to be correlated. PearsonsCorrelation(Covariance) - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation Create a PearsonsCorrelation from a Covariance. PearsonsCorrelation(RealMatrix, int) - Constructor for class org.apache.commons.math3.stat.correlation.PearsonsCorrelation Create a PearsonsCorrelation from a covariance matrix. PegasusSolver - Class in org.apache.commons.math3.analysis.solvers Implements the Pegasus method for root-finding (approximating a zero of a univariate real function). PegasusSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.PegasusSolver Construct a solver with default accuracy (1e-6). PegasusSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.PegasusSolver Construct a solver. PegasusSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.PegasusSolver Construct a solver. PegasusSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.PegasusSolver Construct a solver. pelzGood(double, int) - Method in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest Computes the Pelz-Good approximation for $P(D_n < d)$ as described in [2] in the class javadoc. percentageValue() - Method in class org.apache.commons.math3.fraction.BigFraction Gets the fraction percentage as a double. percentageValue() - Method in class org.apache.commons.math3.fraction.Fraction Gets the fraction percentage as a double. Percentile - Class in org.apache.commons.math3.stat.descriptive.rank Provides percentile computation. Percentile() - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Percentile Constructs a Percentile with the following defaults. Percentile(double) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Percentile Constructs a Percentile with the specific quantile value and the following default method type: Percentile.EstimationType.LEGACY default NaN strategy: NaNStrategy.REMOVED a Kth Selector : KthSelector Percentile(Percentile) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Percentile Copy constructor, creates a new Percentile identical to the original Percentile(double, Percentile.EstimationType, NaNStrategy, KthSelector) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.Percentile Constructs a Percentile with the specific quantile value, Percentile.EstimationType, NaNStrategy and KthSelector. percentile(double[], double) - Static method in class org.apache.commons.math3.stat.StatUtils Returns an estimate of the pth percentile of the values in the values array. percentile(double[], int, int, double) - Static method in class org.apache.commons.math3.stat.StatUtils Returns an estimate of the pth percentile of the values in the values array, starting with the element in (0-based) position begin in the array and including length values. Percentile.EstimationType - Enum in org.apache.commons.math3.stat.descriptive.rank An enum for various estimation strategies of a percentile referred in wikipedia on quantile with the names of enum matching those of types mentioned in wikipedia. performHouseholderReflection(int, double[][]) - Method in class org.apache.commons.math3.linear.QRDecomposition Perform Householder reflection for a minor A(minor, minor) of A. performHouseholderReflection(int, double[][]) - Method in class org.apache.commons.math3.linear.RRQRDecomposition Perform Householder reflection for a minor A(minor, minor) of A. PermutationChromosome<T> - Interface in org.apache.commons.math3.genetics Interface indicating that the chromosome represents a permutation of objects. PG_SUM_RELATIVE_ERROR - Static variable in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest Convergence criterion for the sums in #pelzGood(double, double, int)} PI - Static variable in class org.apache.commons.math3.util.FastMath Archimede's constant PI, ratio of circle circumference to diameter. PI_SQUARED - Static variable in class org.apache.commons.math3.util.MathUtils $\pi^2$ PiecewiseBicubicSplineInterpolatingFunction - Class in org.apache.commons.math3.analysis.interpolation Function that implements the bicubic spline interpolation. PiecewiseBicubicSplineInterpolatingFunction(double[], double[], double[][]) - Constructor for class org.apache.commons.math3.analysis.interpolation.PiecewiseBicubicSplineInterpolatingFunction PiecewiseBicubicSplineInterpolator - Class in org.apache.commons.math3.analysis.interpolation Generates a piecewise-bicubic interpolating function. PiecewiseBicubicSplineInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.PiecewiseBicubicSplineInterpolator pivotIndex(double[], int, int) - Method in class org.apache.commons.math3.util.CentralPivotingStrategy Find pivot index of the array so that partition and K^th element selection can be made pivotIndex(double[], int, int) - Method in class org.apache.commons.math3.util.MedianOf3PivotingStrategy Find pivot index of the array so that partition and K^th element selection can be made pivotIndex(double[], int, int) - Method in interface org.apache.commons.math3.util.PivotingStrategyInterface Find pivot index of the array so that partition and K^th element selection can be made pivotIndex(double[], int, int) - Method in class org.apache.commons.math3.util.RandomPivotingStrategy Find pivot index of the array so that partition and K^th element selection can be made PivotingStrategyInterface - Interface in org.apache.commons.math3.util A strategy to pick a pivoting index of an array for doing partitioning. PivotSelectionRule - Enum in org.apache.commons.math3.optim.linear Pivot selection rule to the use for a Simplex solver. Plane - Class in org.apache.commons.math3.geometry.euclidean.threed The class represent planes in a three dimensional space. Plane(Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane Build a plane normal to a given direction and containing the origin. Plane(Vector3D, Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane Build a plane from a point and a normal. Plane(Vector3D, Vector3D, Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane Build a plane from three points. Plane(Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane Deprecated. as of 3.3, replaced with Plane.Plane(Vector3D, double) Plane(Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane Deprecated. as of 3.3, replaced with Plane.Plane(Vector3D, Vector3D, double) Plane(Vector3D, Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane Deprecated. as of 3.3, replaced with Plane.Plane(Vector3D, Vector3D, Vector3D, double) Plane(Plane) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Plane Copy constructor. PLUS_I - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D First canonical vector (coordinates: 1, 0, 0). PLUS_I - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point +I (coordinates: $ \theta = 0, \varphi = \pi/2 $). PLUS_J - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Second canonical vector (coordinates: 0, 1, 0). PLUS_J - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point +J (coordinates: $ \theta = \pi/2, \varphi = \pi/2 $)). PLUS_K - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Third canonical vector (coordinates: 0, 0, 1). PLUS_K - Static variable in class org.apache.commons.math3.geometry.spherical.twod.S2Point +K (coordinates: $ \theta = any angle, \varphi = 0 $). Point<S extends Space> - Interface in org.apache.commons.math3.geometry This interface represents a generic geometrical point. point - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer Deprecated. As of 3.1. pointAt(double) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line Get one point from the line. PointValuePair - Class in org.apache.commons.math3.optim This class holds a point and the value of an objective function at that point. PointValuePair(double[], double) - Constructor for class org.apache.commons.math3.optim.PointValuePair Builds a point/objective function value pair. PointValuePair(double[], double, boolean) - Constructor for class org.apache.commons.math3.optim.PointValuePair Builds a point/objective function value pair. PointValuePair - Class in org.apache.commons.math3.optimization Deprecated. As of 3.1 (to be removed in 4.0). PointValuePair(double[], double) - Constructor for class org.apache.commons.math3.optimization.PointValuePair Deprecated. Builds a point/objective function value pair. PointValuePair(double[], double, boolean) - Constructor for class org.apache.commons.math3.optimization.PointValuePair Deprecated. Builds a point/objective function value pair. PointVectorValuePair - Class in org.apache.commons.math3.optim This class holds a point and the vectorial value of an objective function at that point. PointVectorValuePair(double[], double[]) - Constructor for class org.apache.commons.math3.optim.PointVectorValuePair Builds a point/objective function value pair. PointVectorValuePair(double[], double[], boolean) - Constructor for class org.apache.commons.math3.optim.PointVectorValuePair Build a point/objective function value pair. PointVectorValuePair - Class in org.apache.commons.math3.optimization Deprecated. As of 3.1 (to be removed in 4.0). PointVectorValuePair(double[], double[]) - Constructor for class org.apache.commons.math3.optimization.PointVectorValuePair Deprecated. Builds a point/objective function value pair. PointVectorValuePair(double[], double[], boolean) - Constructor for class org.apache.commons.math3.optimization.PointVectorValuePair Deprecated. Build a point/objective function value pair. PoissonDistribution - Class in org.apache.commons.math3.distribution Implementation of the Poisson distribution. PoissonDistribution(double) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution Creates a new Poisson distribution with specified mean. PoissonDistribution(double, double, int) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution Creates a new Poisson distribution with specified mean, convergence criterion and maximum number of iterations. PoissonDistribution(RandomGenerator, double, double, int) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution Creates a new Poisson distribution with specified mean, convergence criterion and maximum number of iterations. PoissonDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution Creates a new Poisson distribution with the specified mean and convergence criterion. PoissonDistribution(double, int) - Constructor for class org.apache.commons.math3.distribution.PoissonDistribution Creates a new Poisson distribution with the specified mean and maximum number of iterations. polar2Complex(double, double) - Static method in class org.apache.commons.math3.complex.ComplexUtils Creates a complex number from the given polar representation. PolygonsSet - Class in org.apache.commons.math3.geometry.euclidean.twod This class represents a 2D region: a set of polygons. PolygonsSet(double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet Build a polygons set representing the whole plane. PolygonsSet(BSPTree<Euclidean2D>, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet Build a polygons set from a BSP tree. PolygonsSet(Collection<SubHyperplane<Euclidean2D>>, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet Build a polygons set from a Boundary REPresentation (B-rep). PolygonsSet(double, double, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet Build a parallellepipedic box. PolygonsSet(double, Vector2D...) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet Build a polygon from a simple list of vertices. PolygonsSet() - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet Deprecated. as of 3.3, replaced with PolygonsSet.PolygonsSet(double) PolygonsSet(BSPTree<Euclidean2D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet Deprecated. as of 3.3, replaced with PolygonsSet.PolygonsSet(BSPTree, double) PolygonsSet(Collection<SubHyperplane<Euclidean2D>>) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet Deprecated. as of 3.3, replaced with PolygonsSet.PolygonsSet(Collection, double) PolygonsSet(double, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.PolygonsSet Deprecated. as of 3.3, replaced with PolygonsSet.PolygonsSet(double, double, double, double, double) PolyhedronsSet - Class in org.apache.commons.math3.geometry.euclidean.threed This class represents a 3D region: a set of polyhedrons. PolyhedronsSet(double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet Build a polyhedrons set representing the whole real line. PolyhedronsSet(BSPTree<Euclidean3D>, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet Build a polyhedrons set from a BSP tree. PolyhedronsSet(Collection<SubHyperplane<Euclidean3D>>, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet Build a polyhedrons set from a Boundary REPresentation (B-rep) specified by sub-hyperplanes. PolyhedronsSet(List<Vector3D>, List<int[]>, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet Build a polyhedrons set from a Boundary REPresentation (B-rep) specified by connected vertices. PolyhedronsSet(double, double, double, double, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet Build a parallellepipedic box. PolyhedronsSet() - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet Deprecated. as of 3.3, replaced with PolyhedronsSet.PolyhedronsSet(double) PolyhedronsSet(BSPTree<Euclidean3D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet Deprecated. as of 3.3, replaced with PolyhedronsSet.PolyhedronsSet(BSPTree, double) PolyhedronsSet(Collection<SubHyperplane<Euclidean3D>>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet Deprecated. as of 3.3, replaced with PolyhedronsSet.PolyhedronsSet(Collection, double) PolyhedronsSet(double, double, double, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet Deprecated. as of 3.3, replaced with PolyhedronsSet.PolyhedronsSet(double, double, double, double, double, double, double) PolynomialCurveFitter - Class in org.apache.commons.math3.fitting Fits points to a polynomial function. polynomialDerivative() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction Returns the derivative as a PolynomialFunction. PolynomialFitter - Class in org.apache.commons.math3.fitting Deprecated. As of 3.3. Please use PolynomialCurveFitter and WeightedObservedPoints instead. PolynomialFitter(MultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.fitting.PolynomialFitter Deprecated. Simple constructor. PolynomialFitter - Class in org.apache.commons.math3.optimization.fitting Deprecated. As of 3.1 (to be removed in 4.0). PolynomialFitter(int, DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.PolynomialFitter Deprecated. Since 3.1 (to be removed in 4.0). Please use PolynomialFitter.PolynomialFitter(DifferentiableMultivariateVectorOptimizer) instead. PolynomialFitter(DifferentiableMultivariateVectorOptimizer) - Constructor for class org.apache.commons.math3.optimization.fitting.PolynomialFitter Deprecated. Simple constructor. PolynomialFunction - Class in org.apache.commons.math3.analysis.polynomials Immutable representation of a real polynomial function with real coefficients. PolynomialFunction(double[]) - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialFunction Construct a polynomial with the given coefficients. PolynomialFunction.Parametric - Class in org.apache.commons.math3.analysis.polynomials Dedicated parametric polynomial class. PolynomialFunction.Parametric() - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialFunction.Parametric PolynomialFunctionLagrangeForm - Class in org.apache.commons.math3.analysis.polynomials Implements the representation of a real polynomial function in Lagrange Form. PolynomialFunctionLagrangeForm(double[], double[]) - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm Construct a Lagrange polynomial with the given abscissas and function values. PolynomialFunctionNewtonForm - Class in org.apache.commons.math3.analysis.polynomials Implements the representation of a real polynomial function in Newton Form. PolynomialFunctionNewtonForm(double[], double[]) - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm Construct a Newton polynomial with the given a[] and c[]. PolynomialSolver - Interface in org.apache.commons.math3.analysis.solvers Interface for (polynomial) root-finding algorithms. polynomialSplineDerivative() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction Get the derivative of the polynomial spline function. PolynomialSplineFunction - Class in org.apache.commons.math3.analysis.polynomials Represents a polynomial spline function. PolynomialSplineFunction(double[], PolynomialFunction[]) - Constructor for class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction Construct a polynomial spline function with the given segment delimiters and interpolating polynomials. PolynomialsUtils - Class in org.apache.commons.math3.analysis.polynomials A collection of static methods that operate on or return polynomials. Population - Interface in org.apache.commons.math3.genetics A collection of chromosomes that facilitates generational evolution. populationVariance(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils Returns the population variance of the entries in the input array, or Double.NaN if the array is empty. populationVariance(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils Returns the population variance of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty. populationVariance(double[], double, int, int) - Static method in class org.apache.commons.math3.stat.StatUtils Returns the population variance of the entries in the specified portion of the input array, using the precomputed mean value. populationVariance(double[], double) - Static method in class org.apache.commons.math3.stat.StatUtils Returns the population variance of the entries in the input array, using the precomputed mean value. POSITIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D A vector with all coordinates set to positive infinity. POSITIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D A vector with all coordinates set to positive infinity. POSITIVE_INFINITY - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D A vector with all coordinates set to positive infinity. POSITIVE_INFINITY - Static variable in class org.apache.commons.math3.util.Decimal64 The constant value of Double.POSITIVE_INFINITY as a Decimal64. positiveOrNull() - Method in class org.apache.commons.math3.dfp.Dfp Check if instance is greater than or equal to 0. pow(double, DerivativeStructure) - Static method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Compute a^x where a is a double and x a DerivativeStructure pow(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Power operation. pow(int) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Integer power operation. pow(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Power operation. pow(double, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Compute power of a double to a derivative structure. pow(double[], int, double, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Compute power of a derivative structure. pow(double[], int, int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Compute integer power of a derivative structure. pow(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Compute power of a derivative structure. pow(double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Power operation. pow(int) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Integer power operation. pow(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Power operation. pow(double, SparseGradient) - Static method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Compute a^x where a is a double and x a SparseGradient Pow - Class in org.apache.commons.math3.analysis.function Power function. Pow() - Constructor for class org.apache.commons.math3.analysis.function.Pow pow(Complex) - Method in class org.apache.commons.math3.complex.Complex Returns of value of this complex number raised to the power of x. pow(double) - Method in class org.apache.commons.math3.complex.Complex Returns of value of this complex number raised to the power of x. pow(double) - Method in class org.apache.commons.math3.dfp.Dfp Power operation. pow(int) - Method in class org.apache.commons.math3.dfp.Dfp Integer power operation. pow(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp Power operation. pow(Dfp, int) - Static method in class org.apache.commons.math3.dfp.DfpMath Raises base to the power a by successive squaring. pow(Dfp, Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath Computes x to the y power. pow(int) - Method in class org.apache.commons.math3.fraction.BigFraction Returns a BigFraction whose value is (thisexponent), returning the result in reduced form. pow(long) - Method in class org.apache.commons.math3.fraction.BigFraction Returns a BigFraction whose value is (this^exponent), returning the result in reduced form. pow(BigInteger) - Method in class org.apache.commons.math3.fraction.BigFraction Returns a BigFraction whose value is (this^exponent), returning the result in reduced form. pow(double) - Method in class org.apache.commons.math3.fraction.BigFraction Returns a double whose value is (this^exponent), returning the result in reduced form. pow(double) - Method in interface org.apache.commons.math3.RealFieldElement Power operation. pow(int) - Method in interface org.apache.commons.math3.RealFieldElement Integer power operation. pow(T) - Method in interface org.apache.commons.math3.RealFieldElement Power operation. pow(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils Raise an int to an int power. pow(int, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils Deprecated. As of 3.3. Please use ArithmeticUtils.pow(int,int) instead. pow(long, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils Raise a long to an int power. pow(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils Deprecated. As of 3.3. Please use ArithmeticUtils.pow(long,int) instead. pow(BigInteger, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils Raise a BigInteger to an int power. pow(BigInteger, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils Raise a BigInteger to a long power. pow(BigInteger, BigInteger) - Static method in class org.apache.commons.math3.util.ArithmeticUtils Raise a BigInteger to a BigInteger power. pow(double) - Method in class org.apache.commons.math3.util.Decimal64 Power operation. pow(int) - Method in class org.apache.commons.math3.util.Decimal64 Integer power operation. pow(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64 Power operation. pow(double, double) - Static method in class org.apache.commons.math3.util.FastMath Power function. pow(double, int) - Static method in class org.apache.commons.math3.util.FastMath Raise a double to an int power. pow(double, long) - Static method in class org.apache.commons.math3.util.FastMath Raise a double to a long power. PowellOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv Powell's algorithm. PowellOptimizer(double, double, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer This constructor allows to specify a user-defined convergence checker, in addition to the parameters that control the default convergence checking procedure. PowellOptimizer(double, double, double, double, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer This constructor allows to specify a user-defined convergence checker, in addition to the parameters that control the default convergence checking procedure and the line search tolerances. PowellOptimizer(double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer The parameters control the default convergence checking procedure. PowellOptimizer(double, double, double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.PowellOptimizer Builds an instance with the default convergence checking procedure. PowellOptimizer - Class in org.apache.commons.math3.optimization.direct Deprecated. As of 3.1 (to be removed in 4.0). PowellOptimizer(double, double, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.PowellOptimizer Deprecated. This constructor allows to specify a user-defined convergence checker, in addition to the parameters that control the default convergence checking procedure. PowellOptimizer(double, double, double, double, ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.PowellOptimizer Deprecated. This constructor allows to specify a user-defined convergence checker, in addition to the parameters that control the default convergence checking procedure and the line search tolerances. PowellOptimizer(double, double) - Constructor for class org.apache.commons.math3.optimization.direct.PowellOptimizer Deprecated. The parameters control the default convergence checking procedure. PowellOptimizer(double, double, double, double) - Constructor for class org.apache.commons.math3.optimization.direct.PowellOptimizer Deprecated. Builds an instance with the default convergence checking procedure. Power - Class in org.apache.commons.math3.analysis.function Power function. Power(double) - Constructor for class org.apache.commons.math3.analysis.function.Power power(int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Returns the result multiplying this with itself p times. power(int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Returns the result of multiplying this with itself p times. power(int) - Method in interface org.apache.commons.math3.linear.FieldMatrix Returns the result multiplying this with itself p times. power(int) - Method in interface org.apache.commons.math3.linear.RealMatrix Returns the result of multiplying this with itself p times. power10(int) - Method in class org.apache.commons.math3.dfp.Dfp Return the specified power of 10. power10K(int) - Method in class org.apache.commons.math3.dfp.Dfp Get the specified power of 10000. Precision - Class in org.apache.commons.math3.util Utilities for comparing numbers. precondition(double[], double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.IdentityPreconditioner Precondition a search direction. precondition(double[], double[]) - Method in interface org.apache.commons.math3.optim.nonlinear.scalar.gradient.Preconditioner Precondition a search direction. precondition(double[], double[]) - Method in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer.IdentityPreconditioner Deprecated. Precondition a search direction. precondition(double[], double[]) - Method in interface org.apache.commons.math3.optimization.general.Preconditioner Deprecated. Precondition a search direction. PreconditionedIterativeLinearSolver - Class in org.apache.commons.math3.linear This abstract class defines preconditioned iterative solvers. PreconditionedIterativeLinearSolver(int) - Constructor for class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver Creates a new instance of this class, with default iteration manager. PreconditionedIterativeLinearSolver(IterationManager) - Constructor for class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver Creates a new instance of this class, with custom iteration manager. Preconditioner - Interface in org.apache.commons.math3.optim.nonlinear.scalar.gradient This interface represents a preconditioner for differentiable scalar objective function optimizers. Preconditioner - Interface in org.apache.commons.math3.optimization.general Deprecated. As of 3.1 (to be removed in 4.0). predict() - Method in class org.apache.commons.math3.filter.KalmanFilter Predict the internal state estimation one time step ahead. predict(double[]) - Method in class org.apache.commons.math3.filter.KalmanFilter Predict the internal state estimation one time step ahead. predict(RealVector) - Method in class org.apache.commons.math3.filter.KalmanFilter Predict the internal state estimation one time step ahead. predict(double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression Returns the "predicted" y value associated with the supplied x value, based on the data that has been added to the model when this method is activated. preMultiply(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Premultiply this matrix by m. preMultiply(T[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Returns the (row) vector result of premultiplying this by the vector v. preMultiply(FieldVector<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Returns the (row) vector result of premultiplying this by the vector v. preMultiply(RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Returns the result of premultiplying this by m. preMultiply(double[]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Returns the (row) vector result of premultiplying this by the vector v. preMultiply(RealVector) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Returns the (row) vector result of premultiplying this by the vector v. preMultiply(T[]) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix Returns the (row) vector result of premultiplying this by the vector v. preMultiply(double[]) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix Returns the (row) vector result of premultiplying this by the vector v. preMultiply(T[]) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Returns the (row) vector result of premultiplying this by the vector v. preMultiply(double[]) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Returns the (row) vector result of premultiplying this by the vector v. preMultiply(double[]) - Method in class org.apache.commons.math3.linear.DiagonalMatrix Returns the (row) vector result of premultiplying this by the vector v. preMultiply(RealVector) - Method in class org.apache.commons.math3.linear.DiagonalMatrix Returns the (row) vector result of premultiplying this by the vector v. preMultiply(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix Premultiply this matrix by m. preMultiply(T[]) - Method in interface org.apache.commons.math3.linear.FieldMatrix Returns the (row) vector result of premultiplying this by the vector v. preMultiply(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix Returns the (row) vector result of premultiplying this by the vector v. preMultiply(RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix Returns the result of premultiplying this by m. preMultiply(double[]) - Method in interface org.apache.commons.math3.linear.RealMatrix Returns the (row) vector result of premultiplying this by the vector v. preMultiply(RealVector) - Method in interface org.apache.commons.math3.linear.RealMatrix Returns the (row) vector result of premultiplying this by the vector v. primeFactors(int) - Static method in class org.apache.commons.math3.primes.Primes Prime factors decomposition Primes - Class in org.apache.commons.math3.primes Methods related to prime numbers in the range of int: primality test prime number generation factorization probability(double, double) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(x0 < X <= x1). probability(double) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X = x). probability(int) - Method in class org.apache.commons.math3.distribution.BinomialDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X = x). probability(int) - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X = x). probability(double) - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X = x). probability(int) - Method in class org.apache.commons.math3.distribution.GeometricDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X = x). probability(int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X = x). probability(int) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X = x). probability(double, double) - Method in class org.apache.commons.math3.distribution.LogNormalDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(x0 < X <= x1). probability(double, double) - Method in class org.apache.commons.math3.distribution.NormalDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(x0 < X <= x1). probability(int) - Method in class org.apache.commons.math3.distribution.PascalDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X = x). probability(int) - Method in class org.apache.commons.math3.distribution.PoissonDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X = x). probability(double) - Method in interface org.apache.commons.math3.distribution.RealDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X = x). probability(int) - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X = x). probability(int) - Method in class org.apache.commons.math3.distribution.ZipfDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X = x). probability(double) - Method in class org.apache.commons.math3.random.EmpiricalDistribution For a random variable X whose values are distributed according to this distribution, this method returns P(X = x). processDataPoint(double) - Method in interface org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile.PSquareMarkers Process a data point by moving the marker heights based on estimator. ProcessModel - Interface in org.apache.commons.math3.filter Defines the process dynamics model for the use with a KalmanFilter. Product - Class in org.apache.commons.math3.stat.descriptive.summary Returns the product of the available values. Product() - Constructor for class org.apache.commons.math3.stat.descriptive.summary.Product Create a Product instance Product(Product) - Constructor for class org.apache.commons.math3.stat.descriptive.summary.Product Copy constructor, creates a new Product identical to the original product(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils Returns the product of the entries in the input array, or Double.NaN if the array is empty. product(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils Returns the product of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty. project(Point<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint Project a point to the hyperplane. project(Point<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane Project a point to the hyperplane. project(Point<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line Project a point to the hyperplane. project(Point<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane Project a point to the hyperplane. project(Point<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle Project a point to the hyperplane. project(Point<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle Project a point to the hyperplane. projection(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Find the orthogonal projection of this vector onto another vector. projection(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Find the orthogonal projection of this vector onto another vector. projection(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector Find the orthogonal projection of this vector onto another vector. projection(RealVector) - Method in class org.apache.commons.math3.linear.RealVector Find the orthogonal projection of this vector onto another vector. projection(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector Find the orthogonal projection of this vector onto another vector. projectToBoundary(Point<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.IntervalsSet Project a point on the boundary of the region. projectToBoundary(Point<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion Project a point on the boundary of the region. projectToBoundary(Point<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region Project a point on the boundary of the region. projectToBoundary(Point<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet Project a point on the boundary of the region. ProperBigFractionFormat - Class in org.apache.commons.math3.fraction Formats a BigFraction number in proper format. ProperBigFractionFormat() - Constructor for class org.apache.commons.math3.fraction.ProperBigFractionFormat Create a proper formatting instance with the default number format for the whole, numerator, and denominator. ProperBigFractionFormat(NumberFormat) - Constructor for class org.apache.commons.math3.fraction.ProperBigFractionFormat Create a proper formatting instance with a custom number format for the whole, numerator, and denominator. ProperBigFractionFormat(NumberFormat, NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.fraction.ProperBigFractionFormat Create a proper formatting instance with a custom number format for each of the whole, numerator, and denominator. ProperFractionFormat - Class in org.apache.commons.math3.fraction Formats a Fraction number in proper format. ProperFractionFormat() - Constructor for class org.apache.commons.math3.fraction.ProperFractionFormat Create a proper formatting instance with the default number format for the whole, numerator, and denominator. ProperFractionFormat(NumberFormat) - Constructor for class org.apache.commons.math3.fraction.ProperFractionFormat Create a proper formatting instance with a custom number format for the whole, numerator, and denominator. ProperFractionFormat(NumberFormat, NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math3.fraction.ProperFractionFormat Create a proper formatting instance with a custom number format for each of the whole, numerator, and denominator. providesResidual() - Method in class org.apache.commons.math3.linear.DefaultIterativeLinearSolverEvent Returns true if IterativeLinearSolverEvent.getResidual() is supported. providesResidual() - Method in class org.apache.commons.math3.linear.IterativeLinearSolverEvent Returns true if IterativeLinearSolverEvent.getResidual() is supported. pruneAroundConvexCell(Object, Object, Object) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree Prune a tree around a cell. PSquarePercentile - Class in org.apache.commons.math3.stat.descriptive.rank A StorelessUnivariateStatistic estimating percentiles using the P² Algorithm as explained by Raj Jain and Imrich Chlamtac in P² Algorithm for Dynamic Calculation of Quantiles and Histogram Without Storing Observations. PSquarePercentile(double) - Constructor for class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile Constructs a PSquarePercentile with the specific percentile value. PSquarePercentile.PSquareMarkers - Interface in org.apache.commons.math3.stat.descriptive.rank An interface that encapsulates abstractions of the P-square algorithm markers as is explained in the original works. put(int, double) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap Put a value associated with a key in the map. put(int, T) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap Put a value associated with a key in the map. putTransformer(Class<?>, NumberTransformer) - Method in class org.apache.commons.math3.util.TransformerMap Sets a Class to Transformer Mapping in the Map. Q QNAN - Static variable in class org.apache.commons.math3.dfp.Dfp Indicator value for quiet NaN. QRDecomposition - Class in org.apache.commons.math3.linear Calculates the QR-decomposition of a matrix. QRDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.QRDecomposition Calculates the QR-decomposition of the given matrix. QRDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math3.linear.QRDecomposition Calculates the QR-decomposition of the given matrix. quantile() - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile Returns the quantile estimated by this statistic in the range [0.0-1.0] QuantizationError - Class in org.apache.commons.math3.ml.neuralnet.twod.util Computes the quantization error histogram. QuantizationError(DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.neuralnet.twod.util.QuantizationError quasiSigmoidDecay(double, double, long) - Static method in class org.apache.commons.math3.ml.neuralnet.sofm.LearningFactorFunctionFactory Creates an sigmoid-like LearningFactorFunction function. quasiSigmoidDecay(double, double, long) - Static method in class org.apache.commons.math3.ml.neuralnet.sofm.NeighbourhoodSizeFunctionFactory Creates an sigmoid-like NeighbourhoodSizeFunction function. QuasiSigmoidDecayFunction - Class in org.apache.commons.math3.ml.neuralnet.sofm.util Decay function whose shape is similar to a sigmoid. QuasiSigmoidDecayFunction(double, double, long) - Constructor for class org.apache.commons.math3.ml.neuralnet.sofm.util.QuasiSigmoidDecayFunction Creates an instance. Quaternion - Class in org.apache.commons.math3.complex This class implements quaternions (Hamilton's hypercomplex numbers). Quaternion(double, double, double, double) - Constructor for class org.apache.commons.math3.complex.Quaternion Builds a quaternion from its components. Quaternion(double, double[]) - Constructor for class org.apache.commons.math3.complex.Quaternion Builds a quaternion from scalar and vector parts. Quaternion(double[]) - Constructor for class org.apache.commons.math3.complex.Quaternion Builds a pure quaternion from a vector (assuming that the scalar part is zero). R RADIX - Static variable in class org.apache.commons.math3.dfp.Dfp The radix, or base of this system. random - Variable in class org.apache.commons.math3.distribution.AbstractIntegerDistribution RNG instance used to generate samples from the distribution. random - Variable in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution RNG instance used to generate samples from the distribution. random - Variable in class org.apache.commons.math3.distribution.AbstractRealDistribution RNG instance used to generate samples from the distribution. random - Variable in class org.apache.commons.math3.distribution.EnumeratedDistribution RNG instance used to generate samples from the distribution. random() - Static method in class org.apache.commons.math3.util.FastMath Returns a pseudo-random number between 0.0 and 1.0. RandomAdaptor - Class in org.apache.commons.math3.random Extension of java.util.Random wrapping a RandomGenerator. RandomAdaptor(RandomGenerator) - Constructor for class org.apache.commons.math3.random.RandomAdaptor Construct a RandomAdaptor wrapping the supplied RandomGenerator. randomBinaryRepresentation(int) - Static method in class org.apache.commons.math3.genetics.BinaryChromosome Returns a representation of a random binary array of length length. randomData - Variable in class org.apache.commons.math3.distribution.AbstractIntegerDistribution Deprecated. As of 3.1, to be removed in 4.0. Please use the AbstractIntegerDistribution.random instance variable instead. randomData - Variable in class org.apache.commons.math3.distribution.AbstractRealDistribution Deprecated. As of 3.1, to be removed in 4.0. Please use the AbstractRealDistribution.random instance variable instead. randomData - Variable in class org.apache.commons.math3.random.EmpiricalDistribution RandomDataGenerator instance to use in repeated calls to getNext() RandomData - Interface in org.apache.commons.math3.random Deprecated. to be removed in 4.0. Use RandomDataGenerator directly RandomDataGenerator - Class in org.apache.commons.math3.random Implements the RandomData interface using a RandomGenerator instance to generate non-secure data and a SecureRandom instance to provide data for the nextSecureXxx methods. RandomDataGenerator() - Constructor for class org.apache.commons.math3.random.RandomDataGenerator Construct a RandomDataGenerator, using a default random generator as the source of randomness. RandomDataGenerator(RandomGenerator) - Constructor for class org.apache.commons.math3.random.RandomDataGenerator Construct a RandomDataGenerator using the supplied RandomGenerator as the source of (non-secure) random data. RandomDataImpl - Class in org.apache.commons.math3.random Deprecated. to be removed in 4.0. Use RandomDataGenerator instead RandomDataImpl() - Constructor for class org.apache.commons.math3.random.RandomDataImpl Deprecated. Construct a RandomDataImpl, using a default random generator as the source of randomness. RandomDataImpl(RandomGenerator) - Constructor for class org.apache.commons.math3.random.RandomDataImpl Deprecated. Construct a RandomDataImpl using the supplied RandomGenerator as the source of (non-secure) random data. RandomGenerator - Interface in org.apache.commons.math3.random Interface extracted from java.util.Random. RandomGeneratorFactory - Class in org.apache.commons.math3.random Utilities for creating RandomGenerator instances. randomize(RealDistribution, FeatureInitializer) - Static method in class org.apache.commons.math3.ml.neuralnet.FeatureInitializerFactory Adds some amount of random data to the given initializer. RandomKey<T> - Class in org.apache.commons.math3.genetics Random Key chromosome is used for permutation representation. RandomKey(List<Double>) - Constructor for class org.apache.commons.math3.genetics.RandomKey Constructor. RandomKey(Double[]) - Constructor for class org.apache.commons.math3.genetics.RandomKey Constructor. RandomKeyMutation - Class in org.apache.commons.math3.genetics Mutation operator for RandomKeys. RandomKeyMutation() - Constructor for class org.apache.commons.math3.genetics.RandomKeyMutation randomPermutation(int) - Static method in class org.apache.commons.math3.genetics.RandomKey Generates a representation corresponding to a random permutation of length l which can be passed to the RandomKey constructor. RandomPivotingStrategy - Class in org.apache.commons.math3.util A strategy of selecting random index between begin and end indices. RandomPivotingStrategy(RandomGenerator) - Constructor for class org.apache.commons.math3.util.RandomPivotingStrategy Simple constructor. RandomVectorGenerator - Interface in org.apache.commons.math3.random This interface represents a random generator for whole vectors. range(int, int) - Static method in class org.apache.commons.math3.util.IntegerSequence Creates a sequence {@code [start .. range(int, int, int) - Static method in class org.apache.commons.math3.util.IntegerSequence Creates a sequence $ a_i, i < 0 <= n $ where $ a_i = start + i * step $ and $ n $ is such that $ a_n <= max $ and $ a_{n+1} > max $. rank(double[]) - Method in class org.apache.commons.math3.stat.ranking.NaturalRanking Rank data using the natural ordering on Doubles, with NaN values handled according to nanStrategy and ties resolved using tiesStrategy. rank(double[]) - Method in interface org.apache.commons.math3.stat.ranking.RankingAlgorithm Performs a rank transformation on the input data, returning an array of ranks. RankingAlgorithm - Interface in org.apache.commons.math3.stat.ranking Interface representing a rank transformation. readBaseExternal(ObjectInput) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator Read the base state of the instance. readExternal(ObjectInput) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator readExternal(ObjectInput) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator readResolve() - Method in class org.apache.commons.math3.complex.Complex Resolve the transient fields in a deserialized Complex Object. RealDistribution - Interface in org.apache.commons.math3.distribution Base interface for distributions on the reals. RealFieldElement<T> - Interface in org.apache.commons.math3 Interface representing a real field. RealFieldUnivariateFunction<T extends RealFieldElement<T>> - Interface in org.apache.commons.math3.analysis An interface representing a univariate real function. RealLinearOperator - Class in org.apache.commons.math3.linear This class defines a linear operator operating on real (double) vector spaces. RealLinearOperator() - Constructor for class org.apache.commons.math3.linear.RealLinearOperator RealMatrix - Interface in org.apache.commons.math3.linear Interface defining a real-valued matrix with basic algebraic operations. RealMatrixChangingVisitor - Interface in org.apache.commons.math3.linear Interface defining a visitor for matrix entries. RealMatrixFormat - Class in org.apache.commons.math3.linear Formats a nxm matrix in components list format "{{a₀₀,a₀₁, ..., a₀_m-1},{a₁₀, a₁₁, ..., a₁_m-1},{...},{ a_n-1₀, a_n-1₁, ..., a_n-1_m-1}}". RealMatrixFormat() - Constructor for class org.apache.commons.math3.linear.RealMatrixFormat Create an instance with default settings. RealMatrixFormat(NumberFormat) - Constructor for class org.apache.commons.math3.linear.RealMatrixFormat Create an instance with a custom number format for components. RealMatrixFormat(String, String, String, String, String, String) - Constructor for class org.apache.commons.math3.linear.RealMatrixFormat Create an instance with custom prefix, suffix and separator. RealMatrixFormat(String, String, String, String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.linear.RealMatrixFormat Create an instance with custom prefix, suffix, separator and format for components. RealMatrixPreservingVisitor - Interface in org.apache.commons.math3.linear Interface defining a visitor for matrix entries. RealTransformer - Interface in org.apache.commons.math3.transform Interface for one-dimensional data sets transformations producing real results. RealVector - Class in org.apache.commons.math3.linear Class defining a real-valued vector with basic algebraic operations. RealVector() - Constructor for class org.apache.commons.math3.linear.RealVector RealVector.Entry - Class in org.apache.commons.math3.linear An entry in the vector. RealVector.Entry() - Constructor for class org.apache.commons.math3.linear.RealVector.Entry Simple constructor. RealVector.SparseEntryIterator - Class in org.apache.commons.math3.linear This class should rarely be used, but is here to provide a default implementation of sparseIterator(), which is implemented by walking over the entries, skipping those that are zero. RealVector.SparseEntryIterator() - Constructor for class org.apache.commons.math3.linear.RealVector.SparseEntryIterator Simple constructor. RealVectorChangingVisitor - Interface in org.apache.commons.math3.linear This interface defines a visitor for the entries of a vector. RealVectorFormat - Class in org.apache.commons.math3.linear Formats a vector in components list format "{v0; v1; ...; vk-1}". RealVectorFormat() - Constructor for class org.apache.commons.math3.linear.RealVectorFormat Create an instance with default settings. RealVectorFormat(NumberFormat) - Constructor for class org.apache.commons.math3.linear.RealVectorFormat Create an instance with a custom number format for components. RealVectorFormat(String, String, String) - Constructor for class org.apache.commons.math3.linear.RealVectorFormat Create an instance with custom prefix, suffix and separator. RealVectorFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.linear.RealVectorFormat Create an instance with custom prefix, suffix, separator and format for components. RealVectorPreservingVisitor - Interface in org.apache.commons.math3.linear This interface defines a visitor for the entries of a vector. reciprocal() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Returns the multiplicative inverse of this element. reciprocal() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Returns the multiplicative inverse of this element. reciprocal() - Method in class org.apache.commons.math3.complex.Complex Returns the multiplicative inverse of this element. reciprocal() - Method in class org.apache.commons.math3.dfp.Dfp Returns the multiplicative inverse of this element. reciprocal() - Method in interface org.apache.commons.math3.FieldElement Returns the multiplicative inverse of this element. reciprocal() - Method in class org.apache.commons.math3.fraction.BigFraction Return the multiplicative inverse of this fraction. reciprocal() - Method in class org.apache.commons.math3.fraction.Fraction Return the multiplicative inverse of this fraction. reciprocal() - Method in interface org.apache.commons.math3.RealFieldElement Returns the multiplicative inverse of this element. reciprocal() - Method in class org.apache.commons.math3.util.BigReal Returns the multiplicative inverse of this element. reciprocal() - Method in class org.apache.commons.math3.util.Decimal64 Returns the multiplicative inverse of this element. RectangularCholeskyDecomposition - Class in org.apache.commons.math3.linear Calculates the rectangular Cholesky decomposition of a matrix. RectangularCholeskyDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.RectangularCholeskyDecomposition Decompose a symmetric positive semidefinite matrix. RectangularCholeskyDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math3.linear.RectangularCholeskyDecomposition Decompose a symmetric positive semidefinite matrix. reduce() - Method in class org.apache.commons.math3.fraction.BigFraction Reduce this BigFraction to its lowest terms. reduce(double, double, double) - Static method in class org.apache.commons.math3.util.MathUtils Reduce |a - offset| to the primary interval [0, |period|). reducePoints(Collection<Vector2D>) - Static method in class org.apache.commons.math3.geometry.euclidean.twod.hull.AklToussaintHeuristic Returns a point set that is reduced by all points for which it is safe to assume that they are not part of the convex hull. Region<S extends Space> - Interface in org.apache.commons.math3.geometry.partitioning This interface represents a region of a space as a partition. Region.Location - Enum in org.apache.commons.math3.geometry.partitioning Enumerate for the location of a point with respect to the region. RegionFactory<S extends Space> - Class in org.apache.commons.math3.geometry.partitioning This class is a factory for Region. RegionFactory() - Constructor for class org.apache.commons.math3.geometry.partitioning.RegionFactory Simple constructor. registerVariationalEquations(ExpandableStatefulODE) - Method in class org.apache.commons.math3.ode.JacobianMatrices Register the variational equations for the Jacobians matrices to the expandable set. regress() - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression Conducts a regression on the data in the model, using all regressors. regress(int) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression Conducts a regression on the data in the model, using a subset of regressors. regress(int[]) - Method in class org.apache.commons.math3.stat.regression.MillerUpdatingRegression Conducts a regression on the data in the model, using regressors in array Calling this method will change the internal order of the regressors and care is required in interpreting the hatmatrix. regress() - Method in class org.apache.commons.math3.stat.regression.SimpleRegression Performs a regression on data present in buffers and outputs a RegressionResults object. regress(int[]) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression Performs a regression on data present in buffers including only regressors indexed in variablesToInclude and outputs a RegressionResults object regress() - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression Performs a regression on data present in buffers and outputs a RegressionResults object regress(int[]) - Method in interface org.apache.commons.math3.stat.regression.UpdatingMultipleLinearRegression Performs a regression on data present in buffers including only regressors indexed in variablesToInclude and outputs a RegressionResults object RegressionResults - Class in org.apache.commons.math3.stat.regression Results of a Multiple Linear Regression model fit. RegressionResults(double[], double[][], boolean, long, int, double, double, double, boolean, boolean) - Constructor for class org.apache.commons.math3.stat.regression.RegressionResults Constructor for Regression Results. RegulaFalsiSolver - Class in org.apache.commons.math3.analysis.solvers Implements the Regula Falsi or False position method for root-finding (approximating a zero of a univariate real function). RegulaFalsiSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.RegulaFalsiSolver Construct a solver with default accuracy (1e-6). RegulaFalsiSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.RegulaFalsiSolver Construct a solver. RegulaFalsiSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.RegulaFalsiSolver Construct a solver. RegulaFalsiSolver(double, double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.RegulaFalsiSolver Construct a solver. regularizedBeta(double, double, double) - Static method in class org.apache.commons.math3.special.Beta Returns the regularized beta function I(x, a, b). regularizedBeta(double, double, double, double) - Static method in class org.apache.commons.math3.special.Beta Returns the regularized beta function I(x, a, b). regularizedBeta(double, double, double, int) - Static method in class org.apache.commons.math3.special.Beta Returns the regularized beta function I(x, a, b). regularizedBeta(double, double, double, double, int) - Static method in class org.apache.commons.math3.special.Beta Returns the regularized beta function I(x, a, b). regularizedGammaP(double, double) - Static method in class org.apache.commons.math3.special.Gamma Returns the regularized gamma function P(a, x). regularizedGammaP(double, double, double, int) - Static method in class org.apache.commons.math3.special.Gamma Returns the regularized gamma function P(a, x). regularizedGammaQ(double, double) - Static method in class org.apache.commons.math3.special.Gamma Returns the regularized gamma function Q(a, x) = 1 - P(a, x). regularizedGammaQ(double, double, double, int) - Static method in class org.apache.commons.math3.special.Gamma Returns the regularized gamma function Q(a, x) = 1 - P(a, x). reinitialize(double[], boolean, EquationsMapper, EquationsMapper[]) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator Reinitialize the instance reinitialize(double[], boolean, EquationsMapper, EquationsMapper[]) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator Reinitialize the instance. reinitialize(double, double, double[], Array2DRowRealMatrix) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator Reinitialize the instance. reinitializeBegin(StepInterpolator) - Method in class org.apache.commons.math3.ode.events.EventState Reinitialize the beginning of the step. reinitializeBegin(FieldStepInterpolator<T>) - Method in class org.apache.commons.math3.ode.events.FieldEventState Reinitialize the beginning of the step. Relationship - Enum in org.apache.commons.math3.optim.linear Types of relationships between two cells in a Solver LinearConstraint. Relationship - Enum in org.apache.commons.math3.optimization.linear Deprecated. As of 3.1 (to be removed in 4.0). remainder(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure IEEE remainder operator. remainder(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure IEEE remainder operator. remainder(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Perform remainder of two derivative structures. remainder(double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient IEEE remainder operator. remainder(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient IEEE remainder operator. remainder(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp Returns the IEEE remainder. remainder(double) - Method in class org.apache.commons.math3.dfp.Dfp IEEE remainder operator. remainder(double) - Method in interface org.apache.commons.math3.RealFieldElement IEEE remainder operator. remainder(T) - Method in interface org.apache.commons.math3.RealFieldElement IEEE remainder operator. remainder(double) - Method in class org.apache.commons.math3.util.Decimal64 IEEE remainder operator. remainder(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64 IEEE remainder operator. remove() - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapSparseIterator remove() - Method in class org.apache.commons.math3.linear.RealVector.SparseEntryIterator remove() - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor Not applicable. remove() - Method in class org.apache.commons.math3.util.MultidimensionalCounter.Iterator remove(int) - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap Remove the value associated with a key. remove(int) - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap Remove the value associated with a key. REMOVED - Static variable in class org.apache.commons.math3.util.OpenIntToDoubleHashMap Status indicator for removed table entries. REMOVED - Static variable in class org.apache.commons.math3.util.OpenIntToFieldHashMap Status indicator for removed table entries. removeData(double, double) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression Removes the observation (x,y) from the regression data set. removeData(double[][]) - Method in class org.apache.commons.math3.stat.regression.SimpleRegression Removes observations represented by the elements in data. removeIterationListener(IterationListener) - Method in class org.apache.commons.math3.util.IterationManager Removes the specified iteration listener from the list of listeners currently attached to this object. removeMostRecentValue() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Removes the most recent value from the dataset. removeTransformer(Class<?>) - Method in class org.apache.commons.math3.util.TransformerMap Removes a Class to Transformer Mapping in the Map. replaceMostRecentValue(double) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Replaces the most recently stored value with the given value. replaceWorstPoint(PointValuePair, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex Replace the worst point of the simplex by a new point. replaceWorstPoint(PointValuePair, Comparator<PointValuePair>) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex Deprecated. Replace the worst point of the simplex by a new point. REPLAY_MODE - Static variable in class org.apache.commons.math3.random.ValueServer Replay data from valuesFilePath. representableDelta(double, double) - Static method in class org.apache.commons.math3.util.Precision Computes a number delta close to originalDelta with the property that rescale(T) - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator Rescale the instance. rescale(double) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator Rescale the instance. reSeed(long) - Method in class org.apache.commons.math3.random.EmpiricalDistribution Reseeds the random number generator used by EmpiricalDistribution.getNextValue(). reSeed(long) - Method in class org.apache.commons.math3.random.RandomDataGenerator Reseeds the random number generator with the supplied seed. reSeed() - Method in class org.apache.commons.math3.random.RandomDataGenerator Reseeds the random number generator with System.currentTimeMillis() + System.identityHashCode(this)). reSeed(long) - Method in class org.apache.commons.math3.random.RandomDataImpl Deprecated. Reseeds the random number generator with the supplied seed. reSeed() - Method in class org.apache.commons.math3.random.RandomDataImpl Deprecated. Reseeds the random number generator with System.currentTimeMillis() + System.identityHashCode(this)). reSeed(long) - Method in class org.apache.commons.math3.random.ValueServer Reseeds the random data generator. reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution Reseed the random generator used to generate samples. reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution Reseeds the random generator used to generate samples. reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution Reseed the random generator used to generate samples. reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution Override with no-op (there is no generator). reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.EnumeratedDistribution Reseed the random generator used to generate samples. reseedRandomGenerator(long) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution Reseed the random generator used to generate samples. reseedRandomGenerator(long) - Method in class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution Reseeds the random generator used to generate samples. reseedRandomGenerator(long) - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution Reseeds the random generator used to generate samples. reseedRandomGenerator(long) - Method in interface org.apache.commons.math3.distribution.RealDistribution Reseed the random generator used to generate samples. reseedRandomGenerator(long) - Method in class org.apache.commons.math3.random.EmpiricalDistribution Reseed the random generator used to generate samples. reSeedSecure() - Method in class org.apache.commons.math3.random.RandomDataGenerator Reseeds the secure random number generator with the current time in milliseconds. reSeedSecure(long) - Method in class org.apache.commons.math3.random.RandomDataGenerator Reseeds the secure random number generator with the supplied seed. reSeedSecure() - Method in class org.apache.commons.math3.random.RandomDataImpl Deprecated. Reseeds the secure random number generator with the current time in milliseconds. reSeedSecure(long) - Method in class org.apache.commons.math3.random.RandomDataImpl Deprecated. Reseeds the secure random number generator with the supplied seed. reset(Vector3D, Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line Reset the instance as if built from two points. reset(Vector3D, Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane Reset the instance as if built from a point and a normal. reset(Plane) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane Reset the instance from another one. reset(Vector2D, Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line Reset the instance as if built from two points. reset(Vector2D, double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line Reset the instance as if built from a line and an angle. reset(Vector3D) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle Reset the instance as if built from a pole. reset(double, double[]) - Method in class org.apache.commons.math3.ode.events.EventState Let the event handler reset the state if it wants. reset(FieldODEStateAndDerivative<T>) - Method in class org.apache.commons.math3.ode.events.FieldEventState Let the event handler reset the state if it wants. resetCount() - Method in class org.apache.commons.math3.util.Incrementor Deprecated. Resets the counter to 0. resetInternalState() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator Reset internal state to dummy values. resetInternalState() - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator Reset internal state to dummy values. resetIterationCount() - Method in class org.apache.commons.math3.util.IterationManager Sets the iteration count to 0. resetOccurred() - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator Check if a reset occurred while last step was accepted. resetOccurred - Variable in class org.apache.commons.math3.ode.AbstractIntegrator Indicator that a state or derivative reset was triggered by some event. resetReplayFile() - Method in class org.apache.commons.math3.random.ValueServer Resets REPLAY_MODE file pointer to the beginning of the valuesFileURL. resetState(double, double[]) - Method in class org.apache.commons.math3.ode.events.EventFilter Reset the state prior to continue the integration. resetState(double, double[]) - Method in interface org.apache.commons.math3.ode.events.EventHandler Reset the state prior to continue the integration. resetState(FieldODEStateAndDerivative<T>) - Method in interface org.apache.commons.math3.ode.events.FieldEventHandler Reset the state prior to continue the integration. ResizableDoubleArray - Class in org.apache.commons.math3.util A variable length DoubleArray implementation that automatically handles expanding and contracting its internal storage array as elements are added and removed. ResizableDoubleArray() - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray Creates an instance with default properties. ResizableDoubleArray(int) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray Creates an instance with the specified initial capacity. ResizableDoubleArray(double[]) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray Creates an instance from an existing double[] with the initial capacity and numElements corresponding to the size of the supplied double[] array. ResizableDoubleArray(int, float) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray Deprecated. As of 3.1. Please use ResizableDoubleArray.ResizableDoubleArray(int,double) instead. ResizableDoubleArray(int, double) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray Creates an instance with the specified initial capacity and expansion factor. ResizableDoubleArray(int, float, float) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray Deprecated. As of 3.1. Please use ResizableDoubleArray.ResizableDoubleArray(int,double,double) instead. ResizableDoubleArray(int, double, double) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray Creates an instance with the specified initial capacity, expansion factor, and contraction criteria. ResizableDoubleArray(int, float, float, int) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray Deprecated. As of 3.1. Please use ResizableDoubleArray.ResizableDoubleArray(int,double,double,ExpansionMode,double[]) instead. ResizableDoubleArray(int, double, double, ResizableDoubleArray.ExpansionMode, double...) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray Creates an instance with the specified properties. ResizableDoubleArray(ResizableDoubleArray) - Constructor for class org.apache.commons.math3.util.ResizableDoubleArray Copy constructor. ResizableDoubleArray.ExpansionMode - Enum in org.apache.commons.math3.util Specification of expansion algorithm. restrictStep(FieldODEStateAndDerivative<T>, FieldODEStateAndDerivative<T>) - Method in class org.apache.commons.math3.ode.sampling.AbstractFieldStepInterpolator Create a new restricted version of the instance. restrictToNonNegative() - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer Deprecated. reunite(SubHyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane Compute the union of the instance and another sub-hyperplane. reunite(SubHyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane Compute the union of the instance and another sub-hyperplane. revert() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation Revert a rotation. revert() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line Get a line with reversed direction. revert() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Rotation Revert a rotation. revertSelf() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint Revert the instance. revertSelf() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane Revert the plane. revertSelf() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line Revert the instance. revertSelf() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle Revert the instance. RiddersSolver - Class in org.apache.commons.math3.analysis.solvers Implements the Ridders' Method for root finding of real univariate functions. RiddersSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.RiddersSolver Construct a solver with default accuracy (1e-6). RiddersSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.RiddersSolver Construct a solver. RiddersSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.RiddersSolver Construct a solver. rint() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Get the whole number that is the nearest to the instance, or the even one if x is exactly half way between two integers. rint() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Get the whole number that is the nearest to the instance, or the even one if x is exactly half way between two integers. Rint - Class in org.apache.commons.math3.analysis.function rint function. Rint() - Constructor for class org.apache.commons.math3.analysis.function.Rint rint() - Method in class org.apache.commons.math3.dfp.Dfp Round to nearest integer using the round-half-even method. rint() - Method in interface org.apache.commons.math3.RealFieldElement Get the whole number that is the nearest to the instance, or the even one if x is exactly half way between two integers. rint() - Method in class org.apache.commons.math3.util.Decimal64 Get the whole number that is the nearest to the instance, or the even one if x is exactly half way between two integers. rint(double) - Static method in class org.apache.commons.math3.util.FastMath Get the whole number that is the nearest to x, or the even one if x is exactly half way between two integers. rjBesl(double, double, int) - Static method in class org.apache.commons.math3.special.BesselJ Calculates Bessel functions $J_{n+alpha}(x)$ for non-negative argument x, and non-negative order n + alpha. ROMBERG_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.RombergIntegrator Maximal number of iterations for Romberg. RombergIntegrator - Class in org.apache.commons.math3.analysis.integration Implements the Romberg Algorithm for integration of real univariate functions. RombergIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.RombergIntegrator Build a Romberg integrator with given accuracies and iterations counts. RombergIntegrator(int, int) - Constructor for class org.apache.commons.math3.analysis.integration.RombergIntegrator Build a Romberg integrator with given iteration counts. RombergIntegrator() - Constructor for class org.apache.commons.math3.analysis.integration.RombergIntegrator Construct a Romberg integrator with default settings (max iteration count set to RombergIntegrator.ROMBERG_MAX_ITERATIONS_COUNT) rootLogLikelihoodRatio(long, long, long, long) - Method in class org.apache.commons.math3.stat.inference.GTest Calculates the root log-likelihood ratio for 2 state Datasets. rootLogLikelihoodRatio(long, long, long, long) - Static method in class org.apache.commons.math3.stat.inference.TestUtils rootN(int) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure N^th root. rootN(double[], int, int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Compute n^th root of a derivative structure. rootN(int) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient N^th root. rootN(int) - Method in class org.apache.commons.math3.dfp.Dfp N^th root. rootN(int) - Method in interface org.apache.commons.math3.RealFieldElement N^th root. rootN(int) - Method in class org.apache.commons.math3.util.Decimal64 N^th root. RootsOfUnity - Class in org.apache.commons.math3.complex A helper class for the computation and caching of the n-th roots of unity. RootsOfUnity() - Constructor for class org.apache.commons.math3.complex.RootsOfUnity Build an engine for computing the n-th roots of unity. rotate(Vector3D, Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane Rotate the plane around the specified point. rotate(Vector3D, Rotation) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet Rotate the region around the specified point. Rotation - Class in org.apache.commons.math3.geometry.euclidean.threed This class implements rotations in a three-dimensional space. Rotation(double, double, double, double, boolean) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation Build a rotation from the quaternion coordinates. Rotation(Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation Deprecated. as of 3.6, replaced with Rotation.Rotation(Vector3D, double, RotationConvention) Rotation(Vector3D, double, RotationConvention) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation Build a rotation from an axis and an angle. Rotation(double[][], double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation Build a rotation from a 3X3 matrix. Rotation(Vector3D, Vector3D, Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation Build the rotation that transforms a pair of vectors into another pair. Rotation(Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation Build one of the rotations that transform one vector into another one. Rotation(RotationOrder, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation Deprecated. as of 3.6, replaced with Rotation.Rotation(RotationOrder, RotationConvention, double, double, double) Rotation(RotationOrder, RotationConvention, double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Rotation Build a rotation from three Cardan or Euler elementary rotations. RotationConvention - Enum in org.apache.commons.math3.geometry.euclidean.threed This enumerates is used to differentiate the semantics of a rotation. RotationOrder - Class in org.apache.commons.math3.geometry.euclidean.threed This class is a utility representing a rotation order specification for Cardan or Euler angles specification. round() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Get the closest long to instance value. round() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Get the closest long to instance value. round(int) - Method in class org.apache.commons.math3.dfp.Dfp Round this given the next digit n using the current rounding mode. round() - Method in class org.apache.commons.math3.dfp.Dfp Get the closest long to instance value. round(int) - Method in class org.apache.commons.math3.dfp.DfpDec Round this given the next digit n using the current rounding mode. round() - Method in interface org.apache.commons.math3.RealFieldElement Get the closest long to instance value. round() - Method in class org.apache.commons.math3.util.Decimal64 Get the closest long to instance value. round(double) - Static method in class org.apache.commons.math3.util.FastMath Get the closest long to x. round(float) - Static method in class org.apache.commons.math3.util.FastMath Get the closest int to x. round(double, int) - Static method in class org.apache.commons.math3.util.Precision Rounds the given value to the specified number of decimal places. round(double, int, int) - Static method in class org.apache.commons.math3.util.Precision Rounds the given value to the specified number of decimal places. round(float, int) - Static method in class org.apache.commons.math3.util.Precision Rounds the given value to the specified number of decimal places. round(float, int, int) - Static method in class org.apache.commons.math3.util.Precision Rounds the given value to the specified number of decimal places. rows - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer Deprecated. As of 3.1. RRQRDecomposition - Class in org.apache.commons.math3.linear Calculates the rank-revealing QR-decomposition of a matrix, with column pivoting. RRQRDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.RRQRDecomposition Calculates the QR-decomposition of the given matrix. RRQRDecomposition(RealMatrix, double) - Constructor for class org.apache.commons.math3.linear.RRQRDecomposition Calculates the QR-decomposition of the given matrix. run() - Method in class org.apache.commons.math3.ml.neuralnet.sofm.KohonenTrainingTask RungeKuttaFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode.nonstiff This class implements the common part of all fixed step Runge-Kutta integrators for Ordinary Differential Equations. RungeKuttaFieldIntegrator(Field<T>, String, T) - Constructor for class org.apache.commons.math3.ode.nonstiff.RungeKuttaFieldIntegrator Simple constructor. RungeKuttaIntegrator - Class in org.apache.commons.math3.ode.nonstiff This class implements the common part of all fixed step Runge-Kutta integrators for Ordinary Differential Equations. RungeKuttaIntegrator(String, double[], double[][], double[], RungeKuttaStepInterpolator, double) - Constructor for class org.apache.commons.math3.ode.nonstiff.RungeKuttaIntegrator Simple constructor. S S1Point - Class in org.apache.commons.math3.geometry.spherical.oned This class represents a point on the 1-sphere. S1Point(double) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.S1Point Simple constructor. S2Point - Class in org.apache.commons.math3.geometry.spherical.twod This class represents a point on the 2-sphere. S2Point(double, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.S2Point Simple constructor. S2Point(Vector3D) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.S2Point Simple constructor. SAFE_MIN - Static variable in class org.apache.commons.math3.util.Precision Safe minimum, such that 1 / SAFE_MIN does not overflow. safeNorm(double[]) - Static method in class org.apache.commons.math3.util.MathArrays Returns the Cartesian norm (2-norm), handling both overflow and underflow. sameOrientationAs(Hyperplane<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint Check if the instance has the same orientation as another hyperplane. sameOrientationAs(Hyperplane<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane Check if the instance has the same orientation as another hyperplane. sameOrientationAs(Hyperplane<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line Check if the instance has the same orientation as another hyperplane. sameOrientationAs(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane Check if the instance has the same orientation as another hyperplane. sameOrientationAs(Hyperplane<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle Check if the instance has the same orientation as another hyperplane. sameOrientationAs(Hyperplane<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle Check if the instance has the same orientation as another hyperplane. sample(UnivariateFunction, double, double, int) - Static method in class org.apache.commons.math3.analysis.FunctionUtils Samples the specified univariate real function on the specified interval. sample() - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution Generate a random value sampled from this distribution. sample(int) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution Generate a random sample from the distribution. sample() - Method in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution Generates a random value vector sampled from this distribution. sample(int) - Method in class org.apache.commons.math3.distribution.AbstractMultivariateRealDistribution Generates a list of a random value vectors from the distribution. sample() - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution Generate a random value sampled from this distribution. sample(int) - Method in class org.apache.commons.math3.distribution.AbstractRealDistribution Generate a random sample from the distribution. sample() - Method in class org.apache.commons.math3.distribution.BetaDistribution Generate a random value sampled from this distribution. sample() - Method in class org.apache.commons.math3.distribution.ConstantRealDistribution Generate a random value sampled from this distribution. sample() - Method in class org.apache.commons.math3.distribution.EnumeratedDistribution Generate a random value sampled from this distribution. sample(int) - Method in class org.apache.commons.math3.distribution.EnumeratedDistribution Generate a random sample from the distribution. sample(int, T[]) - Method in class org.apache.commons.math3.distribution.EnumeratedDistribution Generate a random sample from the distribution. sample() - Method in class org.apache.commons.math3.distribution.EnumeratedIntegerDistribution Generate a random value sampled from this distribution. sample() - Method in class org.apache.commons.math3.distribution.EnumeratedRealDistribution Generate a random value sampled from this distribution. sample() - Method in class org.apache.commons.math3.distribution.ExponentialDistribution Generate a random value sampled from this distribution. sample() - Method in class org.apache.commons.math3.distribution.GammaDistribution This implementation uses the following algorithms: sample() - Method in interface org.apache.commons.math3.distribution.IntegerDistribution Generate a random value sampled from this distribution. sample(int) - Method in interface org.apache.commons.math3.distribution.IntegerDistribution Generate a random sample from the distribution. sample() - Method in class org.apache.commons.math3.distribution.LogNormalDistribution Generate a random value sampled from this distribution. sample() - Method in class org.apache.commons.math3.distribution.MixtureMultivariateRealDistribution Generates a random value vector sampled from this distribution. sample() - Method in class org.apache.commons.math3.distribution.MultivariateNormalDistribution Generates a random value vector sampled from this distribution. sample() - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution Generates a random value vector sampled from this distribution. sample(int) - Method in interface org.apache.commons.math3.distribution.MultivariateRealDistribution Generates a list of a random value vectors from the distribution. sample() - Method in class org.apache.commons.math3.distribution.NormalDistribution Generate a random value sampled from this distribution. sample() - Method in class org.apache.commons.math3.distribution.ParetoDistribution Generate a random value sampled from this distribution. sample() - Method in class org.apache.commons.math3.distribution.PoissonDistribution Generate a random value sampled from this distribution. sample() - Method in interface org.apache.commons.math3.distribution.RealDistribution Generate a random value sampled from this distribution. sample(int) - Method in interface org.apache.commons.math3.distribution.RealDistribution Generate a random sample from the distribution. sample() - Method in class org.apache.commons.math3.distribution.UniformIntegerDistribution Generate a random value sampled from this distribution. sample() - Method in class org.apache.commons.math3.distribution.UniformRealDistribution Generate a random value sampled from this distribution. sample() - Method in class org.apache.commons.math3.distribution.ZipfDistribution Generate a random value sampled from this distribution. sanityChecks(FieldODEState<T>, T) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator Check the integration span. sanityChecks(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.AbstractIntegrator Check the integration span. sanityChecks(FieldODEState<T>, T) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator Check the integration span. sanityChecks(ExpandableStatefulODE, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator Check the integration span. scalAbsoluteTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator Allowed absolute scalar error. scalAbsoluteTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator Allowed absolute scalar error. scalarAdd(T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Increment each entry of this matrix. scalarAdd(double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Returns the result of adding d to each entry of this. scalarAdd(T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Increment each entry of this matrix. scalarAdd(double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Returns the result of adding d to each entry of this. scalarAdd(T) - Method in interface org.apache.commons.math3.linear.FieldMatrix Increment each entry of this matrix. scalarAdd(double) - Method in interface org.apache.commons.math3.linear.RealMatrix Returns the result of adding d to each entry of this. scalarMultiply(double) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D Multiply the instance by a scalar. scalarMultiply(T) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Multiply the instance by a scalar. scalarMultiply(double) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Multiply the instance by a scalar. scalarMultiply(double) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Multiply the instance by a scalar. scalarMultiply(double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Multiply the instance by a scalar. scalarMultiply(double) - Method in interface org.apache.commons.math3.geometry.Vector Multiply the instance by a scalar. scalarMultiply(T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Multiply each entry by d. scalarMultiply(double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Returns the result of multiplying each entry of this by d. scalarMultiply(T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Multiply each entry by d. scalarMultiply(double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Returns the result of multiplying each entry of this by d. scalarMultiply(T) - Method in interface org.apache.commons.math3.linear.FieldMatrix Multiply each entry by d. scalarMultiply(double) - Method in interface org.apache.commons.math3.linear.RealMatrix Returns the result of multiplying each entry of this by d. scalb(int) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Multiply the instance by a power of 2. scalb(int) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Multiply the instance by a power of 2. scalb(int) - Method in class org.apache.commons.math3.dfp.Dfp Multiply the instance by a power of 2. scalb(int) - Method in interface org.apache.commons.math3.RealFieldElement Multiply the instance by a power of 2. scalb(int) - Method in class org.apache.commons.math3.util.Decimal64 Multiply the instance by a power of 2. scalb(double, int) - Static method in class org.apache.commons.math3.util.FastMath Multiply a double number by a power of 2. scalb(float, int) - Static method in class org.apache.commons.math3.util.FastMath Multiply a float number by a power of 2. scale(double, double[]) - Static method in class org.apache.commons.math3.util.MathArrays Create a copy of an array scaled by a value. scaleArray(double[], double) - Static method in class org.apache.commons.math3.transform.TransformUtils Multiply every component in the given real array by the given real number. scaleArray(Complex[], double) - Static method in class org.apache.commons.math3.transform.TransformUtils Multiply every component in the given complex array by the given real number. scaled - Variable in class org.apache.commons.math3.ode.MultistepFieldIntegrator First scaled derivative (h y'). scaled - Variable in class org.apache.commons.math3.ode.MultistepIntegrator First scaled derivative (h y'). scaleInPlace(double, double[]) - Static method in class org.apache.commons.math3.util.MathArrays Multiply each element of an array by a value. scalRelativeTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator Allowed relative scalar error. scalRelativeTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator Allowed relative scalar error. score(List<? extends Cluster<T>>) - Method in class org.apache.commons.math3.ml.clustering.evaluation.ClusterEvaluator Computes the evaluation score for the given list of clusters. score(List<? extends Cluster<T>>) - Method in class org.apache.commons.math3.ml.clustering.evaluation.SumOfClusterVariances Computes the evaluation score for the given list of clusters. scramble(int, int, int, int) - Method in class org.apache.commons.math3.random.HaltonSequenceGenerator Performs scrambling of digit d_j according to the formula: search(double[], double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.LineSearch Finds the number alpha that optimizes f(startPoint + alpha * direction). search(UnivariateFunction, GoalType, double, double) - Method in class org.apache.commons.math3.optim.univariate.BracketFinder Search new points that bracket a local optimum of the function. search(UnivariateFunction, GoalType, double, double) - Method in class org.apache.commons.math3.optimization.univariate.BracketFinder Deprecated. Search new points that bracket a local optimum of the function. searchForFitnessUpdate(Population) - Method in class org.apache.commons.math3.genetics.Chromosome Searches the population for a chromosome representing the same solution, and if it finds one, updates the fitness to its value. SearchInterval - Class in org.apache.commons.math3.optim.univariate Search interval and (optional) start value. SearchInterval(double, double, double) - Constructor for class org.apache.commons.math3.optim.univariate.SearchInterval SearchInterval(double, double) - Constructor for class org.apache.commons.math3.optim.univariate.SearchInterval SecantSolver - Class in org.apache.commons.math3.analysis.solvers Implements the Secant method for root-finding (approximating a zero of a univariate real function). SecantSolver() - Constructor for class org.apache.commons.math3.analysis.solvers.SecantSolver Construct a solver with default accuracy (1e-6). SecantSolver(double) - Constructor for class org.apache.commons.math3.analysis.solvers.SecantSolver Construct a solver. SecantSolver(double, double) - Constructor for class org.apache.commons.math3.analysis.solvers.SecantSolver Construct a solver. SecondaryEquations - Interface in org.apache.commons.math3.ode This interface allows users to add secondary differential equations to a primary set of differential equations. SecondMoment - Class in org.apache.commons.math3.stat.descriptive.moment Computes a statistic related to the Second Central Moment. SecondMoment() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SecondMoment Create a SecondMoment instance SecondMoment(SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SecondMoment Copy constructor, creates a new SecondMoment identical to the original SecondOrderDifferentialEquations - Interface in org.apache.commons.math3.ode This interface represents a second order differential equations set. SecondOrderIntegrator - Interface in org.apache.commons.math3.ode This interface represents a second order integrator for differential equations. Segment - Class in org.apache.commons.math3.geometry.euclidean.threed Simple container for a two-points segment. Segment(Vector3D, Vector3D, Line) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Segment Build a segment. Segment - Class in org.apache.commons.math3.geometry.euclidean.twod Simple container for a two-points segment. Segment(Vector2D, Vector2D, Line) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Segment Build a segment. select(Population) - Method in interface org.apache.commons.math3.genetics.SelectionPolicy Select two chromosomes from the population. select(Population) - Method in class org.apache.commons.math3.genetics.TournamentSelection Select two chromosomes from the population. select(double[], int[], int) - Method in class org.apache.commons.math3.util.KthSelector Select K^th value in the array. selectFarthest(Iterable, EnclosingBall<S, P>) - Method in class org.apache.commons.math3.geometry.enclosing.WelzlEncloser Select the point farthest to the current ball. SelectionPolicy - Interface in org.apache.commons.math3.genetics Algorithm used to select a chromosome pair from a population. selectTransformer(Transformer, double, boolean) - Method in enum org.apache.commons.math3.ode.events.FilterType Get next function transformer in the specified direction. SemiVariance - Class in org.apache.commons.math3.stat.descriptive.moment Computes the semivariance of a set of values with respect to a given cutoff value. SemiVariance() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance Constructs a SemiVariance with default (true) biasCorrected property and default (Downside) varianceDirection property. SemiVariance(boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance Constructs a SemiVariance with the specified biasCorrected property and default (Downside) varianceDirection property. SemiVariance(SemiVariance.Direction) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance Constructs a SemiVariance with the specified Direction property and default (true) biasCorrected property SemiVariance(boolean, SemiVariance.Direction) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance Constructs a SemiVariance with the specified isBiasCorrected property and the specified Direction property. SemiVariance(SemiVariance) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.SemiVariance Copy constructor, creates a new SemiVariance identical to the original SemiVariance.Direction - Enum in org.apache.commons.math3.stat.descriptive.moment The direction of the semivariance - either upside or downside. sequence(int, int, int) - Static method in class org.apache.commons.math3.util.MathArrays Returns an array of size integers starting at start, skipping stride numbers. serializeRealMatrix(RealMatrix, ObjectOutputStream) - Static method in class org.apache.commons.math3.linear.MatrixUtils Serialize a RealMatrix. serializeRealVector(RealVector, ObjectOutputStream) - Static method in class org.apache.commons.math3.linear.MatrixUtils Serialize a RealVector. set(int, ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Set a set of consecutive elements. set(T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Set all elements to a single value. set(double) - Method in class org.apache.commons.math3.linear.ArrayRealVector Set all elements to a single value. set(T) - Method in interface org.apache.commons.math3.linear.FieldVector Set all elements to a single value. set(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector Set all elements to a single value. set(double) - Method in class org.apache.commons.math3.linear.RealVector Set all elements to a single value. set(T) - Method in class org.apache.commons.math3.linear.SparseFieldVector Set all elements to a single value. setAngle(double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line Set the angle of the line. setArity(int) - Method in class org.apache.commons.math3.genetics.TournamentSelection Sets the arity (number of chromosomes drawn to the tournament). setAttribute(Object) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree Associate an attribute with the instance. setBarycenter(Vector<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion Set the barycenter of the instance. setBarycenter(Point<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion Set the barycenter of the instance. setBiasCorrected(boolean) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance Sets the biasCorrected property. setBiasCorrected(boolean) - Method in class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation setBiasCorrected(boolean) - Method in class org.apache.commons.math3.stat.descriptive.moment.Variance setChromosomes(List<Chromosome>) - Method in class org.apache.commons.math3.genetics.ListPopulation Deprecated. use ListPopulation.addChromosomes(Collection) instead setColumn(int, T[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Set the entries in column number column as a column matrix. setColumn(int, double[]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Sets the specified column of this matrix to the entries of the specified array. setColumn(int, T[]) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Set the entries in column number column as a column matrix. setColumn(int, double[]) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Sets the specified column of this matrix to the entries of the specified array. setColumn(int, T[]) - Method in interface org.apache.commons.math3.linear.FieldMatrix Set the entries in column number column as a column matrix. setColumn(int, double[]) - Method in interface org.apache.commons.math3.linear.RealMatrix Sets the specified column of this matrix to the entries of the specified array. setColumnMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Set the entries in column number column as a column matrix. setColumnMatrix(int, RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Sets the specified column of this matrix to the entries of the specified column matrix. setColumnMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Set the entries in column number column as a column matrix. setColumnMatrix(int, RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Sets the specified column of this matrix to the entries of the specified column matrix. setColumnMatrix(int, FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix Set the entries in column number column as a column matrix. setColumnMatrix(int, RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix Sets the specified column of this matrix to the entries of the specified column matrix. setColumnVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Set the entries in column number column as a vector. setColumnVector(int, RealVector) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Sets the specified column of this matrix to the entries of the specified vector. setColumnVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Set the entries in column number column as a vector. setColumnVector(int, RealVector) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Sets the specified column of this matrix to the entries of the specified vector. setColumnVector(int, FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix Set the entries in column number column as a vector. setColumnVector(int, RealVector) - Method in interface org.apache.commons.math3.linear.RealMatrix Sets the specified column of this matrix to the entries of the specified vector. setCompleteState(double[]) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE Set the complete current state. setContractionCriteria(float) - Method in class org.apache.commons.math3.util.ResizableDoubleArray Deprecated. As of 3.1 (to be removed in 4.0 as field will become "final"). setControlFactors(double, double, double, double) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator Set the step size control factors. setCost(double) - Method in class org.apache.commons.math3.optim.nonlinear.vector.jacobian.AbstractLeastSquaresOptimizer Deprecated. Sets the cost. setCost(double) - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer Deprecated. Sets the cost. setData(double[]) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic Set the data array. setData(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic Set the data array. setData(double[]) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile Set the data array. setData(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile Set the data array. setDenominatorFormat(NumberFormat) - Method in class org.apache.commons.math3.fraction.AbstractFormat Modify the denominator format. setElement(int, double) - Method in interface org.apache.commons.math3.util.DoubleArray Sets the element at the specified index. setElement(int, double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray Sets the element at the specified index. setElitismRate(double) - Method in class org.apache.commons.math3.genetics.ElitisticListPopulation Sets the elitism rate, i.e. setEntry(int, int, T) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Set the entry in the specified row and column. setEntry(int, int, double) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Set the entry in the specified row and column. setEntry(int, int, T) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix Set the entry in the specified row and column. setEntry(int, int, double) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix Set the entry in the specified row and column. setEntry(int, T) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Set a single element. setEntry(int, double) - Method in class org.apache.commons.math3.linear.ArrayRealVector Set a single element. setEntry(int, int, T) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Set the entry in the specified row and column. setEntry(int, int, double) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Set the entry in the specified row and column. setEntry(int, int, double) - Method in class org.apache.commons.math3.linear.DiagonalMatrix Set the entry in the specified row and column. setEntry(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrix Set the entry in the specified row and column. setEntry(int, T) - Method in interface org.apache.commons.math3.linear.FieldVector Set a single element. setEntry(int, int, double) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix Set the entry in the specified row and column. setEntry(int, double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector Set a single element. setEntry(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrix Set the entry in the specified row and column. setEntry(int, double) - Method in class org.apache.commons.math3.linear.RealVector Set a single element. setEntry(int, int, T) - Method in class org.apache.commons.math3.linear.SparseFieldMatrix Set the entry in the specified row and column. setEntry(int, T) - Method in class org.apache.commons.math3.linear.SparseFieldVector Set a single element. setEquations(ExpandableStatefulODE) - Method in class org.apache.commons.math3.ode.AbstractIntegrator Set the equations. setExpandable(ExpandableStatefulODE) - Method in class org.apache.commons.math3.ode.events.EventState Set the equation. setExpansionFactor(float) - Method in class org.apache.commons.math3.util.ResizableDoubleArray Deprecated. As of 3.1 (to be removed in 4.0 as field will become "final"). setExpansionMode(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray Deprecated. As of 3.1. Please use ResizableDoubleArray.setExpansionMode(ExpansionMode) instead. setExpansionMode(ResizableDoubleArray.ExpansionMode) - Method in class org.apache.commons.math3.util.ResizableDoubleArray Deprecated. As of 3.1 (to be removed in 4.0 as field will become "final"). setGeoMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics Sets the implementation for the geometric mean. setGeoMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Sets the implementation for the geometric mean. setGeoMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics Sets the implementation for the geometric mean. setGeoMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Sets the implementation for the geometric mean. setGeometricMeanImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Sets the implementation for the gemoetric mean. setIEEEFlags(int) - Method in class org.apache.commons.math3.dfp.DfpField Sets the IEEE 854 status flags. setIEEEFlagsBits(int) - Method in class org.apache.commons.math3.dfp.DfpField Sets some bits in the IEEE 854 status flags, without changing the already set bits. setIndex(int) - Method in class org.apache.commons.math3.linear.RealVector.Entry Set the index of the entry. setInitialCapacity(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray Deprecated. As of 3.1, this is a no-op. setInitialMainStateJacobian(double[][]) - Method in class org.apache.commons.math3.ode.JacobianMatrices Set the initial value of the Jacobian matrix with respect to state. setInitialParameterJacobian(String, double[]) - Method in class org.apache.commons.math3.ode.JacobianMatrices Set the initial value of a column of the Jacobian matrix with respect to one parameter. setInitialStep(double) - Method in class org.apache.commons.math3.optimization.general.NonLinearConjugateGradientOptimizer Deprecated. Set the initial step used to bracket the optimum in line search. setInitialStepSize(T) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator Set the initial step size. setInitialStepSize(double) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator Set the initial step size. setInterpolatedTime(double) - Method in class org.apache.commons.math3.ode.ContinuousOutputModel Set the time of the interpolated point. setInterpolatedTime(double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator Set the time of the interpolated point. setInterpolatedTime(double) - Method in interface org.apache.commons.math3.ode.sampling.StepInterpolator Set the time of the interpolated point. setInterpolationControl(boolean, int) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator Set the interpolation order control parameter. setIsLastStep(boolean) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator Set the last state flag. setKurtosisImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Sets the implementation for the kurtosis. setMaxEvaluations(int) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator Set the maximal number of differential equations function evaluations. setMaxEvaluations(int) - Method in class org.apache.commons.math3.ode.AbstractIntegrator Set the maximal number of differential equations function evaluations. setMaxEvaluations(int) - Method in interface org.apache.commons.math3.ode.FirstOrderFieldIntegrator Set the maximal number of differential equations function evaluations. setMaxEvaluations(int) - Method in interface org.apache.commons.math3.ode.ODEIntegrator Set the maximal number of differential equations function evaluations. setMaxGrowth(double) - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator Set the maximal growth factor for stepsize control. setMaxGrowth(double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator Set the maximal growth factor for stepsize control. setMaxGrowth(T) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator Set the maximal growth factor for stepsize control. setMaxGrowth(double) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator Set the maximal growth factor for stepsize control. setMaximalCount(int) - Method in class org.apache.commons.math3.util.Incrementor Deprecated. Sets the upper limit for the counter. setMaxImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Sets the implementation for the maximum. setMaxImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics Sets the implementation for the maximum. setMaxImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Sets the implementation for the maximum. setMaxImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics Sets the implementation for the maximum. setMaxImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Sets the implementation for the maximum. setMaxIterations(int) - Method in class org.apache.commons.math3.optimization.linear.AbstractLinearOptimizer Deprecated. Set the maximal number of iterations of the algorithm. setMaxIterations(int) - Method in interface org.apache.commons.math3.optimization.linear.LinearOptimizer Deprecated. Set the maximal number of iterations of the algorithm. setMeanImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Sets the implementation for the mean. setMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics Sets the implementation for the mean. setMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Sets the implementation for the mean. setMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics Sets the implementation for the mean. setMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Sets the implementation for the mean. setMinImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Sets the implementation for the minimum. setMinImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics Sets the implementation for the minimum. setMinImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Sets the implementation for the minimum. setMinImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics Sets the implementation for the minimum. setMinImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Sets the implementation for the minimum. setMinReduction(double) - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator Set the minimal reduction factor for stepsize control. setMinReduction(double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator Set the minimal reduction factor for stepsize control. setMinReduction(T) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator Set the minimal reduction factor for stepsize control. setMinReduction(double) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator Set the minimal reduction factor for stepsize control. setMode(int) - Method in class org.apache.commons.math3.random.ValueServer Sets the data generation mode. setMu(double) - Method in class org.apache.commons.math3.random.ValueServer Sets the mean used in data generation. setNoIntercept(boolean) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression setNumElements(int) - Method in class org.apache.commons.math3.util.ResizableDoubleArray This function allows you to control the number of elements contained in this array, and can be used to "throw out" the last n values in an array. setNumeratorFormat(NumberFormat) - Method in class org.apache.commons.math3.fraction.AbstractFormat Modify the numerator format. setOrderControl(int, double, double) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator Set the order control parameters. setOriginOffset(double) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line Set the offset of the origin. setParameter(String, double) - Method in interface org.apache.commons.math3.ode.ParameterizedODE Set the value for a given parameter. setParameterizedODE(ParameterizedODE) - Method in class org.apache.commons.math3.ode.JacobianMatrices Set a parameter Jacobian provider. setParameterStep(String, double) - Method in class org.apache.commons.math3.ode.JacobianMatrices Set the step associated to a parameter in order to compute by finite difference the Jacobian matrix. setPercentileImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Sets the implementation to be used by DescriptiveStatistics.getPercentile(double). setPoint(int, PointValuePair) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex Store a new point at location index. setPoint(int, PointValuePair) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex Deprecated. Store a new point at location index. setPoints(PointValuePair[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.AbstractSimplex Replace all points. setPoints(PointValuePair[]) - Method in class org.apache.commons.math3.optimization.direct.AbstractSimplex Deprecated. Replace all points. setPopulationLimit(int) - Method in class org.apache.commons.math3.genetics.ListPopulation Sets the maximal population size. setPrimaryState(double[]) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE Set primary part of the current state. setQuantile(double) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile Sets the value of the quantile field (determines what percentile is computed when evaluate() is called with no quantile argument). setRandomGenerator(RandomGenerator) - Static method in class org.apache.commons.math3.genetics.GeneticAlgorithm Set the (static) random generator. setRoundingMode(DfpField.RoundingMode) - Method in class org.apache.commons.math3.dfp.DfpField Set the rounding mode. setRoundingMode(RoundingMode) - Method in class org.apache.commons.math3.util.BigReal Sets the rounding mode for decimal divisions. setRow(int, T[]) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Set the entries in row number row as a row matrix. setRow(int, double[]) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Sets the specified row of this matrix to the entries of the specified array. setRow(int, T[]) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Set the entries in row number row as a row matrix. setRow(int, double[]) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Sets the specified row of this matrix to the entries of the specified array. setRow(int, T[]) - Method in interface org.apache.commons.math3.linear.FieldMatrix Set the entries in row number row as a row matrix. setRow(int, double[]) - Method in interface org.apache.commons.math3.linear.RealMatrix Sets the specified row of this matrix to the entries of the specified array. setRowMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Set the entries in row number row as a row matrix. setRowMatrix(int, RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Sets the specified row of this matrix to the entries of the specified row matrix. setRowMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Set the entries in row number row as a row matrix. setRowMatrix(int, BlockFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Sets the entries in row number row as a row matrix. setRowMatrix(int, RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Sets the specified row of this matrix to the entries of the specified row matrix. setRowMatrix(int, BlockRealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Sets the entries in row number row as a row matrix. setRowMatrix(int, FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix Set the entries in row number row as a row matrix. setRowMatrix(int, RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix Sets the specified row of this matrix to the entries of the specified row matrix. setRowVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Set the entries in row number row as a vector. setRowVector(int, RealVector) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Sets the specified row of this matrix to the entries of the specified vector. setRowVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Set the entries in row number row as a vector. setRowVector(int, RealVector) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Sets the specified row of this matrix to the entries of the specified vector. setRowVector(int, FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix Set the entries in row number row as a vector. setRowVector(int, RealVector) - Method in interface org.apache.commons.math3.linear.RealMatrix Sets the specified row of this matrix to the entries of the specified vector. setSafety(double) - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator Set the safety factor for stepsize control. setSafety(double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator Set the safety factor for stepsize control. setSafety(T) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaFieldIntegrator Set the safety factor for stepsize control. setSafety(double) - Method in class org.apache.commons.math3.ode.nonstiff.EmbeddedRungeKuttaIntegrator Set the safety factor for stepsize control. setScale(int) - Method in class org.apache.commons.math3.util.BigReal Sets the scale for division operations. setSecondaryState(int, double[]) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE Set secondary part of the current state. setSecureAlgorithm(String, String) - Method in class org.apache.commons.math3.random.RandomDataGenerator Sets the PRNG algorithm for the underlying SecureRandom instance using the Security Provider API. setSecureAlgorithm(String, String) - Method in class org.apache.commons.math3.random.RandomDataImpl Deprecated. Sets the PRNG algorithm for the underlying SecureRandom instance using the Security Provider API. setSeed(int) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator Sets the seed of the underlying random number generator using an int seed. setSeed(int[]) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator Sets the seed of the underlying random number generator using an int array seed. setSeed(long) - Method in class org.apache.commons.math3.random.AbstractRandomGenerator Sets the seed of the underlying random number generator using a long seed. setSeed(int) - Method in class org.apache.commons.math3.random.AbstractWell Reinitialize the generator as if just built with the given int seed. setSeed(int[]) - Method in class org.apache.commons.math3.random.AbstractWell Reinitialize the generator as if just built with the given int array seed. setSeed(long) - Method in class org.apache.commons.math3.random.AbstractWell Reinitialize the generator as if just built with the given long seed. setSeed(int) - Method in class org.apache.commons.math3.random.BitsStreamGenerator Sets the seed of the underlying random number generator using an int seed. setSeed(int[]) - Method in class org.apache.commons.math3.random.BitsStreamGenerator Sets the seed of the underlying random number generator using an int array seed. setSeed(long) - Method in class org.apache.commons.math3.random.BitsStreamGenerator Sets the seed of the underlying random number generator using a long seed. setSeed(int) - Method in class org.apache.commons.math3.random.ISAACRandom Sets the seed of the underlying random number generator using an int seed. setSeed(long) - Method in class org.apache.commons.math3.random.ISAACRandom Sets the seed of the underlying random number generator using a long seed. setSeed(int[]) - Method in class org.apache.commons.math3.random.ISAACRandom Sets the seed of the underlying random number generator using an int array seed. setSeed(int) - Method in class org.apache.commons.math3.random.JDKRandomGenerator Sets the seed of the underlying random number generator using an int seed. setSeed(int[]) - Method in class org.apache.commons.math3.random.JDKRandomGenerator Sets the seed of the underlying random number generator using an int array seed. setSeed(int) - Method in class org.apache.commons.math3.random.MersenneTwister Reinitialize the generator as if just built with the given int seed. setSeed(int[]) - Method in class org.apache.commons.math3.random.MersenneTwister Reinitialize the generator as if just built with the given int array seed. setSeed(long) - Method in class org.apache.commons.math3.random.MersenneTwister Reinitialize the generator as if just built with the given long seed. setSeed(int) - Method in class org.apache.commons.math3.random.RandomAdaptor Sets the seed of the underlying random number generator using an int seed. setSeed(int[]) - Method in class org.apache.commons.math3.random.RandomAdaptor Sets the seed of the underlying random number generator using an int array seed. setSeed(long) - Method in class org.apache.commons.math3.random.RandomAdaptor Sets the seed of the underlying random number generator using a long seed. setSeed(int) - Method in interface org.apache.commons.math3.random.RandomGenerator Sets the seed of the underlying random number generator using an int seed. setSeed(int[]) - Method in interface org.apache.commons.math3.random.RandomGenerator Sets the seed of the underlying random number generator using an int array seed. setSeed(long) - Method in interface org.apache.commons.math3.random.RandomGenerator Sets the seed of the underlying random number generator using a long seed. setSeed(int) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator Sets the seed of the underlying random number generator using an int seed. setSeed(int[]) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator Sets the seed of the underlying random number generator using an int array seed. setSeed(long) - Method in class org.apache.commons.math3.random.SynchronizedRandomGenerator Sets the seed of the underlying random number generator using a long seed. setSigma(double) - Method in class org.apache.commons.math3.random.ValueServer Sets the standard deviation used in ValueServer.GAUSSIAN_MODE. setSimplex(AbstractSimplex) - Method in class org.apache.commons.math3.optimization.direct.SimplexOptimizer Deprecated. As of 3.1. The initial simplex can now be passed as an argument of the BaseAbstractMultivariateOptimizer.optimize(int,MultivariateFunction,GoalType,OptimizationData[]) method. setSize(double) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion Set the size of the instance. setSkewnessImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Sets the implementation for the skewness. setSoftCurrentTime(double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator Restrict step range to a limited part of the global step. setSoftPreviousTime(double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator Restrict step range to a limited part of the global step. setStabilityCheck(boolean, int, int, double) - Method in class org.apache.commons.math3.ode.nonstiff.GraggBulirschStoerIntegrator Set the stability check controls. setStarterIntegrator(FirstOrderFieldIntegrator<T>) - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator Set the starter integrator. setStarterIntegrator(FirstOrderIntegrator) - Method in class org.apache.commons.math3.ode.MultistepIntegrator Set the starter integrator. setStateInitialized(boolean) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator Set the stateInitialized flag. setStateInitialized(boolean) - Method in class org.apache.commons.math3.ode.AbstractIntegrator Set the stateInitialized flag. setStepSize(T) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator Set the current step size. setStepSizeControl(double, double, double, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator Set the adaptive step size control parameters. setStepSizeControl(double, double, double[], double[]) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator Set the adaptive step size control parameters. setStepSizeControl(double, double, double, double) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator Set the adaptive step size control parameters. setStepSizeControl(double, double, double[], double[]) - Method in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator Set the adaptive step size control parameters. setStepStart(FieldODEStateAndDerivative<T>) - Method in class org.apache.commons.math3.ode.AbstractFieldIntegrator Set current step start. setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Replace the submatrix starting at (row, column) using data in the input subMatrix array. setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Replace the submatrix starting at row, column using data in the input subMatrix array. setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix Replace the submatrix starting at (row, column) using data in the input subMatrix array. setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix Replace the submatrix starting at row, column using data in the input subMatrix array. setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Replace the submatrix starting at (row, column) using data in the input subMatrix array. setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Replace the submatrix starting at row, column using data in the input subMatrix array. setSubMatrix(T[][], int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix Replace the submatrix starting at (row, column) using data in the input subMatrix array. setSubMatrix(double[][], int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix Replace the submatrix starting at row, column using data in the input subMatrix array. setSubVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Set a set of consecutive elements. setSubVector(int, RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector Set a sequence of consecutive elements. setSubVector(int, double[]) - Method in class org.apache.commons.math3.linear.ArrayRealVector Set a set of consecutive elements. setSubVector(int, FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector Set a set of consecutive elements. setSubVector(int, RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector Set a sequence of consecutive elements. setSubVector(int, RealVector) - Method in class org.apache.commons.math3.linear.RealVector Set a sequence of consecutive elements. setSubVector(int, FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector Set a set of consecutive elements. setSumImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Sets the implementation for the sum. setSumImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics Sets the implementation for the Sum. setSumImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Sets the implementation for the Sum. setSumImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics Sets the implementation for the Sum. setSumImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Sets the implementation for the Sum. setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.moment.GeometricMean Sets the implementation for the sum of logs. setSumLogImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics Sets the implementation for the sum of logs. setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Sets the implementation for the sum of logs. setSumLogImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics Sets the implementation for the sum of logs. setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Sets the implementation for the sum of logs. setSumsqImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Sets the implementation for the sum of squares. setSumsqImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics Sets the implementation for the sum of squares. setSumsqImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Sets the implementation for the sum of squares. setSumsqImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics Sets the implementation for the sum of squares. setSumsqImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Sets the implementation for the sum of squares. setTime(double) - Method in class org.apache.commons.math3.ode.ExpandableStatefulODE Set current time. setup(int, UnivariateFunction, double, double) - Method in class org.apache.commons.math3.analysis.integration.BaseAbstractUnivariateIntegrator Prepare for computation. setup(int, DifferentiableUnivariateFunction, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractDifferentiableUnivariateSolver Deprecated. Prepare for computation. setup(int, PolynomialFunction, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractPolynomialSolver Prepare for computation. setup(int, UnivariateDifferentiableFunction, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.AbstractUnivariateDifferentiableSolver Prepare for computation. setup(int, FUNC, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver Prepare for computation. setUp() - Method in class org.apache.commons.math3.optimization.direct.BaseAbstractMultivariateVectorOptimizer Deprecated. Method which a subclass must override whenever its internal state depend on the input parsed by this base class. setUp() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer Deprecated. Method which a subclass must override whenever its internal state depend on the input parsed by this base class. setValue(String, Object) - Method in class org.apache.commons.math3.exception.util.ExceptionContext Sets the context (key, value) pair. setValue(double) - Method in class org.apache.commons.math3.linear.OpenMapRealVector.OpenMapEntry Set the value of the entry. setValue(double) - Method in class org.apache.commons.math3.linear.RealVector.Entry Set the value of the entry. setValuesFileURL(String) - Method in class org.apache.commons.math3.random.ValueServer Sets the values file URL using a string URL representation. setValuesFileURL(URL) - Method in class org.apache.commons.math3.random.ValueServer Sets the the values file URL. setVarianceDirection(SemiVariance.Direction) - Method in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance Sets the variance direction setVarianceImpl(UnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Sets the implementation for the variance. setVarianceImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Sets the implementation for the variance. setVarianceImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Sets the implementation for the variance. setWholeFormat(NumberFormat) - Method in class org.apache.commons.math3.fraction.ProperBigFractionFormat Modify the whole format. setWholeFormat(NumberFormat) - Method in class org.apache.commons.math3.fraction.ProperFractionFormat Modify the whole format. setWindowSize(int) - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics WindowSize controls the number of values that contribute to the reported statistics. setWindowSize(int) - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics WindowSize controls the number of values that contribute to the reported statistics. shift(double[], double) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialsUtils Compute the coefficients of the polynomial $P_s(x)$ whose values at point x will be the same as the those from the original polynomial $P(x)$ when computed at x + shift. shift() - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator Shift one step forward. shiftLeft() - Method in class org.apache.commons.math3.dfp.Dfp Shift the mantissa left, and adjust the exponent to compensate. shiftRight() - Method in class org.apache.commons.math3.dfp.Dfp Shift the mantissa right, and adjust the exponent to compensate. shortValue() - Method in class org.apache.commons.math3.util.Decimal64 The current implementation performs casting to a short. shuffle(int[], int, MathArrays.Position) - Static method in class org.apache.commons.math3.util.MathArrays Shuffle the entries of the given array. shuffle(int[], int, MathArrays.Position, RandomGenerator) - Static method in class org.apache.commons.math3.util.MathArrays Shuffle the entries of the given array, using the Fisher–Yates algorithm. shuffle(int[], RandomGenerator) - Static method in class org.apache.commons.math3.util.MathArrays Shuffle the entries of the given array. shuffle(int[]) - Static method in class org.apache.commons.math3.util.MathArrays Shuffle the entries of the given array. side(Hyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractRegion Deprecated. side(Hyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane Deprecated. side(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Region Deprecated. as of 3.6, this method which was only intended for internal use is not used anymore Side - Enum in org.apache.commons.math3.geometry.partitioning Enumerate representing the location of an element with respect to an hyperplane of a space. side(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane Deprecated. as of 3.6, replaced with SubHyperplane.split(Hyperplane).SubHyperplane.SplitSubHyperplane.getSide() side(Arc) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet Deprecated. as of 3.6, replaced with ArcsSet.split(Arc).ArcsSet.Split.getSide() Sigmoid - Class in org.apache.commons.math3.analysis.function Sigmoid function. Sigmoid() - Constructor for class org.apache.commons.math3.analysis.function.Sigmoid Usual sigmoid function, where the lower asymptote is 0 and the higher asymptote is 1. Sigmoid(double, double) - Constructor for class org.apache.commons.math3.analysis.function.Sigmoid Sigmoid function. Sigmoid.Parametric - Class in org.apache.commons.math3.analysis.function Parametric function where the input array contains the parameters of the sigmoid function, ordered as follows: Lower asymptote Higher asymptote Sigmoid.Parametric() - Constructor for class org.apache.commons.math3.analysis.function.Sigmoid.Parametric sign - Variable in class org.apache.commons.math3.dfp.Dfp Sign bit: 1 for positive, -1 for negative. signum() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Compute the signum of the instance. signum() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Compute the signum of the instance. Signum - Class in org.apache.commons.math3.analysis.function signum function. Signum() - Constructor for class org.apache.commons.math3.analysis.function.Signum signum() - Method in class org.apache.commons.math3.dfp.Dfp Compute the signum of the instance. signum() - Method in interface org.apache.commons.math3.RealFieldElement Compute the signum of the instance. signum() - Method in class org.apache.commons.math3.util.Decimal64 Compute the signum of the instance. signum(double) - Static method in class org.apache.commons.math3.util.FastMath Compute the signum of a number. signum(float) - Static method in class org.apache.commons.math3.util.FastMath Compute the signum of a number. SimpleBounds - Class in org.apache.commons.math3.optim Simple optimization constraints: lower and upper bounds. SimpleBounds(double[], double[]) - Constructor for class org.apache.commons.math3.optim.SimpleBounds SimpleBounds - Class in org.apache.commons.math3.optimization Deprecated. As of 3.1 (to be removed in 4.0). SimpleBounds(double[], double[]) - Constructor for class org.apache.commons.math3.optimization.SimpleBounds Deprecated. SimpleCurveFitter - Class in org.apache.commons.math3.fitting Fits points to a user-defined function. SimplePointChecker<PAIR extends Pair<double[],? extends Object>> - Class in org.apache.commons.math3.optim Simple implementation of the ConvergenceChecker interface using only point coordinates. SimplePointChecker(double, double) - Constructor for class org.apache.commons.math3.optim.SimplePointChecker Build an instance with specified thresholds. SimplePointChecker(double, double, int) - Constructor for class org.apache.commons.math3.optim.SimplePointChecker Builds an instance with specified thresholds. SimplePointChecker<PAIR extends Pair<double[],? extends Object>> - Class in org.apache.commons.math3.optimization Deprecated. As of 3.1 (to be removed in 4.0). SimplePointChecker() - Constructor for class org.apache.commons.math3.optimization.SimplePointChecker Deprecated. See AbstractConvergenceChecker.AbstractConvergenceChecker() SimplePointChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.SimplePointChecker Deprecated. Build an instance with specified thresholds. SimplePointChecker(double, double, int) - Constructor for class org.apache.commons.math3.optimization.SimplePointChecker Deprecated. Builds an instance with specified thresholds. SimpleRegression - Class in org.apache.commons.math3.stat.regression Estimates an ordinary least squares regression model with one independent variable. SimpleRegression() - Constructor for class org.apache.commons.math3.stat.regression.SimpleRegression Create an empty SimpleRegression instance SimpleRegression(boolean) - Constructor for class org.apache.commons.math3.stat.regression.SimpleRegression Create a SimpleRegression instance, specifying whether or not to estimate an intercept. SimpleUnivariateValueChecker - Class in org.apache.commons.math3.optim.univariate Simple implementation of the ConvergenceChecker interface that uses only objective function values. SimpleUnivariateValueChecker(double, double) - Constructor for class org.apache.commons.math3.optim.univariate.SimpleUnivariateValueChecker Build an instance with specified thresholds. SimpleUnivariateValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optim.univariate.SimpleUnivariateValueChecker Builds an instance with specified thresholds. SimpleUnivariateValueChecker - Class in org.apache.commons.math3.optimization.univariate Deprecated. As of 3.1 (to be removed in 4.0). SimpleUnivariateValueChecker() - Constructor for class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker Deprecated. See AbstractConvergenceChecker.AbstractConvergenceChecker() SimpleUnivariateValueChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker Deprecated. Build an instance with specified thresholds. SimpleUnivariateValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optimization.univariate.SimpleUnivariateValueChecker Deprecated. Builds an instance with specified thresholds. SimpleValueChecker - Class in org.apache.commons.math3.optim Simple implementation of the ConvergenceChecker interface using only objective function values. SimpleValueChecker(double, double) - Constructor for class org.apache.commons.math3.optim.SimpleValueChecker Build an instance with specified thresholds. SimpleValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optim.SimpleValueChecker Builds an instance with specified thresholds. SimpleValueChecker - Class in org.apache.commons.math3.optimization Deprecated. As of 3.1 (to be removed in 4.0). SimpleValueChecker() - Constructor for class org.apache.commons.math3.optimization.SimpleValueChecker Deprecated. See AbstractConvergenceChecker.AbstractConvergenceChecker() SimpleValueChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.SimpleValueChecker Deprecated. Build an instance with specified thresholds. SimpleValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optimization.SimpleValueChecker Deprecated. Builds an instance with specified thresholds. SimpleVectorValueChecker - Class in org.apache.commons.math3.optim Simple implementation of the ConvergenceChecker interface using only objective function values. SimpleVectorValueChecker(double, double) - Constructor for class org.apache.commons.math3.optim.SimpleVectorValueChecker Build an instance with specified thresholds. SimpleVectorValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optim.SimpleVectorValueChecker Builds an instance with specified tolerance thresholds and iteration count. SimpleVectorValueChecker - Class in org.apache.commons.math3.optimization Deprecated. As of 3.1 (to be removed in 4.0). SimpleVectorValueChecker() - Constructor for class org.apache.commons.math3.optimization.SimpleVectorValueChecker Deprecated. See AbstractConvergenceChecker.AbstractConvergenceChecker() SimpleVectorValueChecker(double, double) - Constructor for class org.apache.commons.math3.optimization.SimpleVectorValueChecker Deprecated. Build an instance with specified thresholds. SimpleVectorValueChecker(double, double, int) - Constructor for class org.apache.commons.math3.optimization.SimpleVectorValueChecker Deprecated. Builds an instance with specified tolerance thresholds and iteration count. SimplexOptimizer - Class in org.apache.commons.math3.optim.nonlinear.scalar.noderiv This class implements simplex-based direct search optimization. SimplexOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer SimplexOptimizer(double, double) - Constructor for class org.apache.commons.math3.optim.nonlinear.scalar.noderiv.SimplexOptimizer SimplexOptimizer - Class in org.apache.commons.math3.optimization.direct Deprecated. As of 3.1 (to be removed in 4.0). SimplexOptimizer() - Constructor for class org.apache.commons.math3.optimization.direct.SimplexOptimizer Deprecated. See SimpleValueChecker.SimpleValueChecker() SimplexOptimizer(ConvergenceChecker<PointValuePair>) - Constructor for class org.apache.commons.math3.optimization.direct.SimplexOptimizer Deprecated. SimplexOptimizer(double, double) - Constructor for class org.apache.commons.math3.optimization.direct.SimplexOptimizer Deprecated. SimplexSolver - Class in org.apache.commons.math3.optim.linear Solves a linear problem using the "Two-Phase Simplex" method. SimplexSolver() - Constructor for class org.apache.commons.math3.optim.linear.SimplexSolver Builds a simplex solver with default settings. SimplexSolver(double) - Constructor for class org.apache.commons.math3.optim.linear.SimplexSolver Builds a simplex solver with a specified accepted amount of error. SimplexSolver(double, int) - Constructor for class org.apache.commons.math3.optim.linear.SimplexSolver Builds a simplex solver with a specified accepted amount of error. SimplexSolver(double, int, double) - Constructor for class org.apache.commons.math3.optim.linear.SimplexSolver Builds a simplex solver with a specified accepted amount of error. SimplexSolver - Class in org.apache.commons.math3.optimization.linear Deprecated. As of 3.1 (to be removed in 4.0). SimplexSolver() - Constructor for class org.apache.commons.math3.optimization.linear.SimplexSolver Deprecated. Build a simplex solver with default settings. SimplexSolver(double, int) - Constructor for class org.apache.commons.math3.optimization.linear.SimplexSolver Deprecated. Build a simplex solver with a specified accepted amount of error SIMPSON_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.SimpsonIntegrator Maximal number of iterations for Simpson. SimpsonIntegrator - Class in org.apache.commons.math3.analysis.integration Implements Simpson's Rule for integration of real univariate functions. SimpsonIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.SimpsonIntegrator Build a Simpson integrator with given accuracies and iterations counts. SimpsonIntegrator(int, int) - Constructor for class org.apache.commons.math3.analysis.integration.SimpsonIntegrator Build a Simpson integrator with given iteration counts. SimpsonIntegrator() - Constructor for class org.apache.commons.math3.analysis.integration.SimpsonIntegrator Construct an integrator with default settings. sin() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Sine operation. sin(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Compute sine of a derivative structure. sin() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Sine operation. Sin - Class in org.apache.commons.math3.analysis.function Sine function. Sin() - Constructor for class org.apache.commons.math3.analysis.function.Sin sin() - Method in class org.apache.commons.math3.complex.Complex Compute the sine of this complex number. sin() - Method in class org.apache.commons.math3.dfp.Dfp Sine operation. sin(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath computes the sine of the argument. sin() - Method in interface org.apache.commons.math3.RealFieldElement Sine operation. sin() - Method in class org.apache.commons.math3.util.Decimal64 Sine operation. sin(double) - Static method in class org.apache.commons.math3.util.FastMath Sine function. Sinc - Class in org.apache.commons.math3.analysis.function Sinc function, defined by Sinc() - Constructor for class org.apache.commons.math3.analysis.function.Sinc The sinc function, sin(x) / x. Sinc(boolean) - Constructor for class org.apache.commons.math3.analysis.function.Sinc Instantiates the sinc function. singleStep(FirstOrderFieldDifferentialEquations<T>, T, T[], T) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaFieldIntegrator Fast computation of a single step of ODE integration. singleStep(FirstOrderDifferentialEquations, double, double[], double) - Method in class org.apache.commons.math3.ode.nonstiff.RungeKuttaIntegrator Fast computation of a single step of ODE integration. SingularMatrixException - Exception in org.apache.commons.math3.linear Exception to be thrown when a non-singular matrix is expected. SingularMatrixException() - Constructor for exception org.apache.commons.math3.linear.SingularMatrixException Construct an exception. SingularOperatorException - Exception in org.apache.commons.math3.linear Exception to be thrown when trying to invert a singular operator. SingularOperatorException() - Constructor for exception org.apache.commons.math3.linear.SingularOperatorException Creates a new instance of this class. SingularValueDecomposition - Class in org.apache.commons.math3.linear Calculates the compact Singular Value Decomposition of a matrix. SingularValueDecomposition(RealMatrix) - Constructor for class org.apache.commons.math3.linear.SingularValueDecomposition Calculates the compact Singular Value Decomposition of the given matrix. sinh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Hyperbolic sine operation. sinh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Compute hyperbolic sine of a derivative structure. sinh() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Hyperbolic sine operation. Sinh - Class in org.apache.commons.math3.analysis.function Hyperbolic sine function. Sinh() - Constructor for class org.apache.commons.math3.analysis.function.Sinh sinh() - Method in class org.apache.commons.math3.complex.Complex Compute the hyperbolic sine of this complex number. sinh() - Method in class org.apache.commons.math3.dfp.Dfp Hyperbolic sine operation. sinh() - Method in interface org.apache.commons.math3.RealFieldElement Hyperbolic sine operation. sinh() - Method in class org.apache.commons.math3.util.Decimal64 Hyperbolic sine operation. sinh(double) - Static method in class org.apache.commons.math3.util.FastMath Compute the hyperbolic sine of a number. sinInternal(Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath Computes sin(a) Used when 0 < a < pi/4. size() - Method in class org.apache.commons.math3.geometry.partitioning.utilities.AVLTree Deprecated. Get the number of elements of the tree. size() - Method in class org.apache.commons.math3.util.IntegerSequence.Range Gets the number of elements contained in the range. size() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap Get the number of elements stored in the map. size() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap Get the number of elements stored in the map. Skewness - Class in org.apache.commons.math3.stat.descriptive.moment Computes the skewness of the available values. Skewness() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Skewness Constructs a Skewness Skewness(ThirdMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Skewness Constructs a Skewness with an external moment Skewness(Skewness) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Skewness Copy constructor, creates a new Skewness identical to the original skipTo(int) - Method in class org.apache.commons.math3.random.HaltonSequenceGenerator Skip to the i-th point in the Halton sequence. skipTo(int) - Method in class org.apache.commons.math3.random.SobolSequenceGenerator Skip to the i-th point in the Sobol sequence. SMALL_SAMPLE_PRODUCT - Static variable in class org.apache.commons.math3.stat.inference.KolmogorovSmirnovTest Deprecated. smooth(double[], double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator Compute a weighted loess fit on the data at the original abscissae. smooth(double[], double[]) - Method in class org.apache.commons.math3.analysis.interpolation.LoessInterpolator Compute a loess fit on the data at the original abscissae. SmoothedDataHistogram - Class in org.apache.commons.math3.ml.neuralnet.twod.util Visualization of high-dimensional data projection on a 2D-map. SmoothedDataHistogram(int, DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.neuralnet.twod.util.SmoothedDataHistogram SmoothingPolynomialBicubicSplineInterpolator - Class in org.apache.commons.math3.analysis.interpolation Deprecated. To be removed in 4.0 (see MATH-1166). SmoothingPolynomialBicubicSplineInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator Deprecated. Default constructor. SmoothingPolynomialBicubicSplineInterpolator(int) - Constructor for class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator Deprecated. SmoothingPolynomialBicubicSplineInterpolator(int, int) - Constructor for class org.apache.commons.math3.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator Deprecated. SNAN - Static variable in class org.apache.commons.math3.dfp.Dfp Indicator value for signaling NaN. SobolSequenceGenerator - Class in org.apache.commons.math3.random Implementation of a Sobol sequence. SobolSequenceGenerator(int) - Constructor for class org.apache.commons.math3.random.SobolSequenceGenerator Construct a new Sobol sequence generator for the given space dimension. SobolSequenceGenerator(int, InputStream) - Constructor for class org.apache.commons.math3.random.SobolSequenceGenerator Construct a new Sobol sequence generator for the given space dimension with direction vectors loaded from the given stream. SolutionCallback - Class in org.apache.commons.math3.optim.linear A callback object that can be provided to a linear optimizer to keep track of the best solution found. SolutionCallback() - Constructor for class org.apache.commons.math3.optim.linear.SolutionCallback solve(int, FUNC, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver Solve for a zero in the given interval, start at startValue. solve(int, FUNC, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver Solve for a zero root in the given interval. solve(int, FUNC, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver Solve for a zero in the vicinity of startValue. solve(int, UnivariateFunction, double, double, AllowedSolution) - Method in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver Solve for a zero in the given interval. solve(int, UnivariateFunction, double, double, double, AllowedSolution) - Method in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver Solve for a zero in the given interval, start at startValue. solve(int, UnivariateFunction, double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseSecantSolver Solve for a zero in the given interval, start at startValue. solve(int, FUNC, double, double) - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver Solve for a zero root in the given interval. solve(int, FUNC, double, double, double) - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver Solve for a zero in the given interval, start at startValue. solve(int, FUNC, double) - Method in interface org.apache.commons.math3.analysis.solvers.BaseUnivariateSolver Solve for a zero in the vicinity of startValue. solve(int, RealFieldUnivariateFunction<T>, T, T, AllowedSolution) - Method in interface org.apache.commons.math3.analysis.solvers.BracketedRealFieldUnivariateSolver Solve for a zero in the given interval. solve(int, RealFieldUnivariateFunction<T>, T, T, T, AllowedSolution) - Method in interface org.apache.commons.math3.analysis.solvers.BracketedRealFieldUnivariateSolver Solve for a zero in the given interval, start at startValue. solve(int, FUNC, double, double, AllowedSolution) - Method in interface org.apache.commons.math3.analysis.solvers.BracketedUnivariateSolver Solve for a zero in the given interval. solve(int, FUNC, double, double, double, AllowedSolution) - Method in interface org.apache.commons.math3.analysis.solvers.BracketedUnivariateSolver Solve for a zero in the given interval, start at startValue. solve(int, UnivariateFunction, double, double, AllowedSolution) - Method in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver Solve for a zero in the given interval. solve(int, UnivariateFunction, double, double, double, AllowedSolution) - Method in class org.apache.commons.math3.analysis.solvers.BracketingNthOrderBrentSolver Solve for a zero in the given interval, start at startValue. solve(int, RealFieldUnivariateFunction<T>, T, T, AllowedSolution) - Method in class org.apache.commons.math3.analysis.solvers.FieldBracketingNthOrderBrentSolver Solve for a zero in the given interval. solve(int, RealFieldUnivariateFunction<T>, T, T, T, AllowedSolution) - Method in class org.apache.commons.math3.analysis.solvers.FieldBracketingNthOrderBrentSolver Solve for a zero in the given interval, start at startValue. solve(int, UnivariateDifferentiableFunction, double, double) - Method in class org.apache.commons.math3.analysis.solvers.NewtonRaphsonSolver Find a zero near the midpoint of min and max. solve(int, DifferentiableUnivariateFunction, double, double) - Method in class org.apache.commons.math3.analysis.solvers.NewtonSolver Deprecated. Find a zero near the midpoint of min and max. solve(UnivariateFunction, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils Convenience method to find a zero of a univariate real function. solve(UnivariateFunction, double, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils Convenience method to find a zero of a univariate real function. solve(int, UnivariateDfpFunction, Dfp, Dfp, AllowedSolution) - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP Deprecated. Solve for a zero in the given interval. solve(int, UnivariateDfpFunction, Dfp, Dfp, Dfp, AllowedSolution) - Method in class org.apache.commons.math3.dfp.BracketingNthOrderBrentSolverDFP Deprecated. Solve for a zero in the given interval, start at startValue. solve(RealMatrix, RealVector) - Method in enum org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer.Decomposition Solve the linear least squares problem Jx=r. solve(RealVector) - Method in interface org.apache.commons.math3.linear.DecompositionSolver Solve the linear equation A × X = B for matrices A. solve(RealMatrix) - Method in interface org.apache.commons.math3.linear.DecompositionSolver Solve the linear equation A × X = B for matrices A. solve(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldDecompositionSolver Solve the linear equation A × X = B for matrices A. solve(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldDecompositionSolver Solve the linear equation A × X = B for matrices A. solve(RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.IterativeLinearSolver Returns an estimate of the solution to the linear system A · x = b. solve(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.IterativeLinearSolver Returns an estimate of the solution to the linear system A · x = b. solve(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver Returns an estimate of the solution to the linear system A · x = b. solve(RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver Returns an estimate of the solution to the linear system A · x = b. solve(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver Returns an estimate of the solution to the linear system A · x = b. solve(RealLinearOperator, RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver Returns an estimate of the solution to the linear system A · x = b. solve(RealLinearOperator, RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ Returns an estimate of the solution to the linear system A · x = b. solve(RealLinearOperator, RealLinearOperator, RealVector, boolean, double) - Method in class org.apache.commons.math3.linear.SymmLQ Returns an estimate of the solution to the linear system (A - shift · I) · x = b. solve(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ Returns an estimate of the solution to the linear system A · x = b. solve(RealLinearOperator, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ Returns an estimate of the solution to the linear system A · x = b. solve(RealLinearOperator, RealVector, boolean, double) - Method in class org.apache.commons.math3.linear.SymmLQ Returns the solution to the system (A - shift · I) · x = b. solve(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ Returns an estimate of the solution to the linear system A · x = b. solveAllComplex(double[], double) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver Find all complex roots for the polynomial with the given coefficients, starting from the given initial value. solveAllComplex(double[], double, int) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver Find all complex roots for the polynomial with the given coefficients, starting from the given initial value. solveComplex(double[], double) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver Find a complex root for the polynomial with the given coefficients, starting from the given initial value. solveComplex(double[], double, int) - Method in class org.apache.commons.math3.analysis.solvers.LaguerreSolver Find a complex root for the polynomial with the given coefficients, starting from the given initial value. solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.ConjugateGradient Returns an estimate of the solution to the linear system A · x = b. solveInPlace(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.IterativeLinearSolver Returns an estimate of the solution to the linear system A · x = b. solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver Returns an estimate of the solution to the linear system A · x = b. solveInPlace(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.PreconditionedIterativeLinearSolver Returns an estimate of the solution to the linear system A · x = b. solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ Returns an estimate of the solution to the linear system A · x = b. solveInPlace(RealLinearOperator, RealLinearOperator, RealVector, RealVector, boolean, double) - Method in class org.apache.commons.math3.linear.SymmLQ Returns an estimate of the solution to the linear system (A - shift · I) · x = b. solveInPlace(RealLinearOperator, RealVector, RealVector) - Method in class org.apache.commons.math3.linear.SymmLQ Returns an estimate of the solution to the linear system A · x = b. solveInverseCumulativeProbability(double, int, int) - Method in class org.apache.commons.math3.distribution.AbstractIntegerDistribution This is a utility function used by AbstractIntegerDistribution.inverseCumulativeProbability(double). solveLowerTriangularSystem(RealMatrix, RealVector) - Static method in class org.apache.commons.math3.linear.MatrixUtils Solve a system of composed of a Lower Triangular Matrix RealMatrix. solvePhase1(SimplexTableau) - Method in class org.apache.commons.math3.optim.linear.SimplexSolver Solves Phase 1 of the Simplex method. solvePhase1(SimplexTableau) - Method in class org.apache.commons.math3.optimization.linear.SimplexSolver Deprecated. Solves Phase 1 of the Simplex method. SOLVER_DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math3.distribution.AbstractRealDistribution Default accuracy. solveUpperTriangularSystem(RealMatrix, RealVector) - Static method in class org.apache.commons.math3.linear.MatrixUtils Solver a system composed of an Upper Triangular Matrix RealMatrix. sort(double[], Iterable<Neuron>, DistanceMeasure) - Static method in class org.apache.commons.math3.ml.neuralnet.MapUtils Creates a list of neurons sorted in increased order of the distance to the given features. sortInPlace(double[], double[]...) - Static method in class org.apache.commons.math3.util.MathArrays Sort an array in ascending order in place and perform the same reordering of entries on other arrays. sortInPlace(double[], MathArrays.OrderDirection, double[]...) - Static method in class org.apache.commons.math3.util.MathArrays Sort an array in place and perform the same reordering of entries on other arrays. Space - Interface in org.apache.commons.math3.geometry This interface represents a generic space, with affine and vectorial counterparts. SparseFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear Sparse matrix implementation based on an open addressed map. SparseFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldMatrix Create a matrix with no data. SparseFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math3.linear.SparseFieldMatrix Create a new SparseFieldMatrix with the supplied row and column dimensions. SparseFieldMatrix(SparseFieldMatrix<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldMatrix Copy constructor. SparseFieldMatrix(FieldMatrix<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldMatrix Generic copy constructor. SparseFieldVector<T extends FieldElement<T>> - Class in org.apache.commons.math3.linear This class implements the FieldVector interface with a OpenIntToFieldHashMap backing store. SparseFieldVector(Field<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector Build a 0-length vector. SparseFieldVector(Field<T>, int) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector Construct a vector of zeroes. SparseFieldVector(SparseFieldVector<T>, int) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector Build a resized vector, for use with append. SparseFieldVector(Field<T>, int, int) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector Build a vector with known the sparseness (for advanced use only). SparseFieldVector(Field<T>, T[]) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector Create from a Field array. SparseFieldVector(SparseFieldVector<T>) - Constructor for class org.apache.commons.math3.linear.SparseFieldVector Copy constructor. SparseGradient - Class in org.apache.commons.math3.analysis.differentiation First derivative computation with large number of variables. sparseIterator() - Method in class org.apache.commons.math3.linear.OpenMapRealVector Create a sparse iterator over the vector, which may omit some entries. sparseIterator() - Method in class org.apache.commons.math3.linear.RealVector Create a sparse iterator over the vector, which may omit some entries. SparseRealMatrix - Interface in org.apache.commons.math3.linear Marker interface for RealMatrix implementations that require sparse backing storage SparseRealVector - Class in org.apache.commons.math3.linear Marker class for RealVectors that require sparse backing storage SparseRealVector() - Constructor for class org.apache.commons.math3.linear.SparseRealVector SpearmansCorrelation - Class in org.apache.commons.math3.stat.correlation Spearman's rank correlation. SpearmansCorrelation() - Constructor for class org.apache.commons.math3.stat.correlation.SpearmansCorrelation Create a SpearmansCorrelation without data. SpearmansCorrelation(RankingAlgorithm) - Constructor for class org.apache.commons.math3.stat.correlation.SpearmansCorrelation Create a SpearmansCorrelation with the given ranking algorithm. SpearmansCorrelation(RealMatrix) - Constructor for class org.apache.commons.math3.stat.correlation.SpearmansCorrelation Create a SpearmansCorrelation from the given data matrix. SpearmansCorrelation(RealMatrix, RankingAlgorithm) - Constructor for class org.apache.commons.math3.stat.correlation.SpearmansCorrelation Create a SpearmansCorrelation with the given input data matrix and ranking algorithm. Sphere1D - Class in org.apache.commons.math3.geometry.spherical.oned This class implements a one-dimensional sphere (i.e. Sphere1D.NoSubSpaceException - Exception in org.apache.commons.math3.geometry.spherical.oned Specialized exception for inexistent sub-space. Sphere1D.NoSubSpaceException() - Constructor for exception org.apache.commons.math3.geometry.spherical.oned.Sphere1D.NoSubSpaceException Simple constructor. Sphere2D - Class in org.apache.commons.math3.geometry.spherical.twod This class implements a two-dimensional sphere (i.e. SphereGenerator - Class in org.apache.commons.math3.geometry.euclidean.threed Class generating an enclosing ball from its support points. SphereGenerator() - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SphereGenerator SphericalCoordinates - Class in org.apache.commons.math3.geometry.euclidean.threed This class provides conversions related to spherical coordinates. SphericalCoordinates(Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates Build a spherical coordinates transformer from Cartesian coordinates. SphericalCoordinates(double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates Build a spherical coordinates transformer from spherical coordinates. SphericalPolygonsSet - Class in org.apache.commons.math3.geometry.spherical.twod This class represents a region on the 2-sphere: a set of spherical polygons. SphericalPolygonsSet(double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet Build a polygons set representing the whole real 2-sphere. SphericalPolygonsSet(Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet Build a polygons set representing a hemisphere. SphericalPolygonsSet(Vector3D, Vector3D, double, int, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet Build a polygons set representing a regular polygon. SphericalPolygonsSet(BSPTree<Sphere2D>, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet Build a polygons set from a BSP tree. SphericalPolygonsSet(Collection<SubHyperplane<Sphere2D>>, double) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet Build a polygons set from a Boundary REPresentation (B-rep). SphericalPolygonsSet(double, S2Point...) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SphericalPolygonsSet Build a polygon from a simple list of vertices. SplineInterpolator - Class in org.apache.commons.math3.analysis.interpolation Computes a natural (also known as "free", "unclamped") cubic spline interpolation for the data set. SplineInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.SplineInterpolator split(DfpField, String) - Static method in class org.apache.commons.math3.dfp.DfpMath Breaks a string representation up into two dfp's. split(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath Splits a Dfp into 2 Dfp's such that their sum is equal to the input Dfp. split(Hyperplane<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint Split the instance in two parts by an hyperplane. split(Hyperplane<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SubPlane Split the instance in two parts by an hyperplane. split(Hyperplane<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.SubLine Split the instance in two parts by an hyperplane. split(Hyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.AbstractSubHyperplane Split the instance in two parts by an hyperplane. split(SubHyperplane<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree Split a BSP tree by an external sub-hyperplane. split(Hyperplane<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.SubHyperplane Split the instance in two parts by an hyperplane. split(Arc) - Method in class org.apache.commons.math3.geometry.spherical.oned.ArcsSet Split the instance in two parts by an arc. split(Hyperplane<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.oned.SubLimitAngle Split the instance in two parts by an hyperplane. split(Hyperplane<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.SubCircle Split the instance in two parts by an hyperplane. splitDiv(Dfp[], Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath Divide two numbers that are split in to two pieces that are meant to be added together. splitMult(Dfp[], Dfp[]) - Static method in class org.apache.commons.math3.dfp.DfpMath Multiply two numbers that are split in to two pieces that are meant to be added together. splitPow(Dfp[], int) - Static method in class org.apache.commons.math3.dfp.DfpMath Raise a split base to the a power. sqrt() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Square root. sqrt() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Square root. Sqrt - Class in org.apache.commons.math3.analysis.function Square-root function. Sqrt() - Constructor for class org.apache.commons.math3.analysis.function.Sqrt sqrt() - Method in class org.apache.commons.math3.complex.Complex Compute the square root of this complex number. sqrt() - Method in class org.apache.commons.math3.dfp.Dfp Compute the square root. sqrt() - Method in class org.apache.commons.math3.linear.JacobiPreconditioner Returns the square root of this diagonal operator. sqrt() - Method in interface org.apache.commons.math3.RealFieldElement Square root. sqrt() - Method in class org.apache.commons.math3.util.Decimal64 Square root. sqrt(double) - Static method in class org.apache.commons.math3.util.FastMath Compute the square root of a number. sqrt1z() - Method in class org.apache.commons.math3.complex.Complex Compute the square root of 1 - this² for this complex number. SquareNeighbourhood - Enum in org.apache.commons.math3.ml.neuralnet Defines neighbourhood types. StableRandomGenerator - Class in org.apache.commons.math3.random This class provides a stable normalized random generator. StableRandomGenerator(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.random.StableRandomGenerator Create a new generator. StandardDeviation - Class in org.apache.commons.math3.stat.descriptive.moment Computes the sample standard deviation. StandardDeviation() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation Constructs a StandardDeviation. StandardDeviation(SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation Constructs a StandardDeviation from an external second moment. StandardDeviation(StandardDeviation) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation Copy constructor, creates a new StandardDeviation identical to the original StandardDeviation(boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation Contructs a StandardDeviation with the specified value for the isBiasCorrected property. StandardDeviation(boolean, SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.StandardDeviation Contructs a StandardDeviation with the specified value for the isBiasCorrected property and the supplied external moment. start(RealVector) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder Configure the initial guess. start(double[]) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder Configure the initial guess. start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixChangingVisitor Start visiting a matrix. start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixPreservingVisitor Start visiting a matrix. start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.linear.DefaultRealMatrixChangingVisitor Start visiting a matrix. start(int, int, int, int, int, int) - Method in class org.apache.commons.math3.linear.DefaultRealMatrixPreservingVisitor Start visiting a matrix. start(int, int, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrixChangingVisitor Start visiting a matrix. start(int, int, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrixPreservingVisitor Start visiting a matrix. start(int, int, int) - Method in interface org.apache.commons.math3.linear.FieldVectorChangingVisitor Start visiting a vector. start(int, int, int) - Method in interface org.apache.commons.math3.linear.FieldVectorPreservingVisitor Start visiting a vector. start(int, int, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrixChangingVisitor Start visiting a matrix. start(int, int, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrixPreservingVisitor Start visiting a matrix. start(int, int, int) - Method in interface org.apache.commons.math3.linear.RealVectorChangingVisitor Start visiting a vector. start(int, int, int) - Method in interface org.apache.commons.math3.linear.RealVectorPreservingVisitor Start visiting a vector. start(FieldExpandableODE<T>, FieldODEState<T>, T) - Method in class org.apache.commons.math3.ode.MultistepFieldIntegrator Start the integration. start(double, double[], double) - Method in class org.apache.commons.math3.ode.MultistepIntegrator Start the integration. start() - Method in class org.apache.commons.math3.util.ResizableDoubleArray Deprecated. As of 3.1. stateVariation - Variable in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator State variation. StatisticalMultivariateSummary - Interface in org.apache.commons.math3.stat.descriptive Reporting interface for basic multivariate statistics. StatisticalSummary - Interface in org.apache.commons.math3.stat.descriptive Reporting interface for basic univariate statistics. StatisticalSummaryValues - Class in org.apache.commons.math3.stat.descriptive Value object representing the results of a univariate statistical summary. StatisticalSummaryValues(double, double, long, double, double, double) - Constructor for class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues Constructor StatUtils - Class in org.apache.commons.math3.stat StatUtils provides static methods for computing statistics based on data stored in double[] arrays. stepAccepted(double, double[]) - Method in class org.apache.commons.math3.ode.events.EventState Acknowledge the fact the step has been accepted by the integrator. stepAccepted(FieldODEStateAndDerivative<T>) - Method in class org.apache.commons.math3.ode.events.FieldEventState Acknowledge the fact the step has been accepted by the integrator. StepFunction - Class in org.apache.commons.math3.analysis.function Step function. StepFunction(double[], double[]) - Constructor for class org.apache.commons.math3.analysis.function.StepFunction Builds a step function from a list of arguments and the corresponding values. StepHandler - Interface in org.apache.commons.math3.ode.sampling This interface represents a handler that should be called after each successful step. stepHandlers - Variable in class org.apache.commons.math3.ode.AbstractIntegrator Step handler. StepInterpolator - Interface in org.apache.commons.math3.ode.sampling This interface represents an interpolator over the last step during an ODE integration. StepNormalizer - Class in org.apache.commons.math3.ode.sampling This class wraps an object implementing FixedStepHandler into a StepHandler. StepNormalizer(double, FixedStepHandler) - Constructor for class org.apache.commons.math3.ode.sampling.StepNormalizer Simple constructor. StepNormalizer(double, FixedStepHandler, StepNormalizerMode) - Constructor for class org.apache.commons.math3.ode.sampling.StepNormalizer Simple constructor. StepNormalizer(double, FixedStepHandler, StepNormalizerBounds) - Constructor for class org.apache.commons.math3.ode.sampling.StepNormalizer Simple constructor. StepNormalizer(double, FixedStepHandler, StepNormalizerMode, StepNormalizerBounds) - Constructor for class org.apache.commons.math3.ode.sampling.StepNormalizer Simple constructor. StepNormalizerBounds - Enum in org.apache.commons.math3.ode.sampling Step normalizer bounds settings. StepNormalizerMode - Enum in org.apache.commons.math3.ode.sampling Step normalizer modes. stepSize - Variable in class org.apache.commons.math3.ode.AbstractIntegrator Current stepsize. stepStart - Variable in class org.apache.commons.math3.ode.AbstractIntegrator Current step start time. stirlingS2(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils Deprecated. use CombinatoricsUtils.stirlingS2(int, int) stirlingS2(int, int) - Static method in class org.apache.commons.math3.util.CombinatoricsUtils Returns the Stirling number of the second kind, "S(n,k)", the number of ways of partitioning an n-element set into k non-empty subsets. stop() - Method in class org.apache.commons.math3.ode.events.EventState Check if the integration should be stopped at the end of the current step. stop() - Method in class org.apache.commons.math3.ode.events.FieldEventState Check if the integration should be stopped at the end of the current step. StoppingCondition - Interface in org.apache.commons.math3.genetics Algorithm used to determine when to stop evolution. store(PAIR) - Method in class org.apache.commons.math3.optim.BaseMultiStartMultivariateOptimizer Method that will be called in order to store each found optimum. store(PointValuePair) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultiStartMultivariateOptimizer Method that will be called in order to store each found optimum. store(PointVectorValuePair) - Method in class org.apache.commons.math3.optim.nonlinear.vector.MultiStartMultivariateVectorOptimizer Deprecated. Method that will be called in order to store each found optimum. StorelessCovariance - Class in org.apache.commons.math3.stat.correlation Covariance implementation that does not require input data to be stored in memory. StorelessCovariance(int) - Constructor for class org.apache.commons.math3.stat.correlation.StorelessCovariance Create a bias corrected covariance matrix with a given dimension. StorelessCovariance(int, boolean) - Constructor for class org.apache.commons.math3.stat.correlation.StorelessCovariance Create a covariance matrix with a given number of rows and columns and the indicated bias correction. StorelessUnivariateStatistic - Interface in org.apache.commons.math3.stat.descriptive Extends the definition of UnivariateStatistic with StorelessUnivariateStatistic.increment(double) and StorelessUnivariateStatistic.incrementAll(double[]) methods for adding values and updating internal state. storeTime(double) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator Store the current step time. strictlyNegative() - Method in class org.apache.commons.math3.dfp.Dfp Check if instance is strictly less than 0. strictlyPositive() - Method in class org.apache.commons.math3.dfp.Dfp Check if instance is strictly greater than 0. subAndCheck(int, int) - Static method in class org.apache.commons.math3.util.ArithmeticUtils Subtract two integers, checking for overflow. subAndCheck(long, long) - Static method in class org.apache.commons.math3.util.ArithmeticUtils Subtract two long integers, checking for overflow. SubCircle - Class in org.apache.commons.math3.geometry.spherical.twod This class represents a sub-hyperplane for Circle. SubCircle(Hyperplane<Sphere2D>, Region<Sphere1D>) - Constructor for class org.apache.commons.math3.geometry.spherical.twod.SubCircle Simple constructor. SubHyperplane<S extends Space> - Interface in org.apache.commons.math3.geometry.partitioning This interface represents the remaining parts of an hyperplane after other parts have been chopped off. SubHyperplane.SplitSubHyperplane - Class in org.apache.commons.math3.geometry.partitioning Class holding the results of the split method. SubHyperplane.SplitSubHyperplane(SubHyperplane, SubHyperplane) - Constructor for class org.apache.commons.math3.geometry.partitioning.SubHyperplane.SplitSubHyperplane Build a SplitSubHyperplane from its parts. SubLimitAngle - Class in org.apache.commons.math3.geometry.spherical.oned This class represents sub-hyperplane for LimitAngle. SubLimitAngle(Hyperplane<Sphere1D>, Region<Sphere1D>) - Constructor for class org.apache.commons.math3.geometry.spherical.oned.SubLimitAngle Simple constructor. SubLine - Class in org.apache.commons.math3.geometry.euclidean.threed This class represents a subset of a Line. SubLine(Line, IntervalsSet) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SubLine Simple constructor. SubLine(Vector3D, Vector3D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SubLine Create a sub-line from two endpoints. SubLine(Vector3D, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SubLine Deprecated. as of 3.3, replaced with SubLine.SubLine(Vector3D, Vector3D, double) SubLine(Segment) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SubLine Create a sub-line from a segment. SubLine - Class in org.apache.commons.math3.geometry.euclidean.twod This class represents a sub-hyperplane for Line. SubLine(Hyperplane<Euclidean2D>, Region<Euclidean1D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.SubLine Simple constructor. SubLine(Vector2D, Vector2D, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.SubLine Create a sub-line from two endpoints. SubLine(Vector2D, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.SubLine Deprecated. as of 3.3, replaced with SubLine.SubLine(Vector2D, Vector2D, double) SubLine(Segment) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.SubLine Create a sub-line from a segment. SubOrientedPoint - Class in org.apache.commons.math3.geometry.euclidean.oned This class represents sub-hyperplane for OrientedPoint. SubOrientedPoint(Hyperplane<Euclidean1D>, Region<Euclidean1D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.SubOrientedPoint Simple constructor. SubPlane - Class in org.apache.commons.math3.geometry.euclidean.threed This class represents a sub-hyperplane for Plane. SubPlane(Hyperplane<Euclidean3D>, Region<Euclidean2D>) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.SubPlane Simple constructor. substituteMostRecentElement(double) - Method in class org.apache.commons.math3.util.ResizableDoubleArray Substitutes value for the most recently added value. subtract(double) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure '-' operator. subtract(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Compute this - a. subtract(double[], int, double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Perform subtraction of two derivative structures. subtract(SparseGradient) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Compute this - a. subtract(double) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient '-' operator. Subtract - Class in org.apache.commons.math3.analysis.function Subtract the second operand from the first. Subtract() - Constructor for class org.apache.commons.math3.analysis.function.Subtract subtract(PolynomialFunction) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction Subtract a polynomial from the instance. subtract(Complex) - Method in class org.apache.commons.math3.complex.Complex Returns a Complex whose value is (this - subtrahend). subtract(double) - Method in class org.apache.commons.math3.complex.Complex Returns a Complex whose value is (this - subtrahend). subtract(Quaternion, Quaternion) - Static method in class org.apache.commons.math3.complex.Quaternion Subtracts two quaternions. subtract(Quaternion) - Method in class org.apache.commons.math3.complex.Quaternion Subtracts a quaternion from the instance. subtract(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp Subtract x from this. subtract(double) - Method in class org.apache.commons.math3.dfp.Dfp '-' operator. subtract(T) - Method in interface org.apache.commons.math3.FieldElement Compute this - a. subtract(BigInteger) - Method in class org.apache.commons.math3.fraction.BigFraction Subtracts the value of an BigInteger from the value of this BigFraction, returning the result in reduced form. subtract(int) - Method in class org.apache.commons.math3.fraction.BigFraction Subtracts the value of an integer from the value of this BigFraction, returning the result in reduced form. subtract(long) - Method in class org.apache.commons.math3.fraction.BigFraction Subtracts the value of a long from the value of this BigFraction, returning the result in reduced form. subtract(BigFraction) - Method in class org.apache.commons.math3.fraction.BigFraction Subtracts the value of another fraction from the value of this one, returning the result in reduced form. subtract(Fraction) - Method in class org.apache.commons.math3.fraction.Fraction Subtracts the value of another fraction from the value of this one, returning the result in reduced form. subtract(int) - Method in class org.apache.commons.math3.fraction.Fraction Subtract an integer from the fraction. subtract(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D Subtract a vector from the instance. subtract(double, Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D Subtract a scaled vector from the instance. subtract(FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Subtract a vector from the instance. subtract(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Subtract a vector from the instance. subtract(T, FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Subtract a scaled vector from the instance. subtract(T, Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Subtract a scaled vector from the instance. subtract(double, FieldVector3D<T>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Subtract a scaled vector from the instance. subtract(double, Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Subtract a scaled vector from the instance. subtract(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Subtract a vector from the instance. subtract(double, Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Subtract a scaled vector from the instance. subtract(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Subtract a vector from the instance. subtract(double, Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Subtract a scaled vector from the instance. subtract(Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector Subtract a vector from the instance. subtract(double, Vector<S>) - Method in interface org.apache.commons.math3.geometry.Vector Subtract a scaled vector from the instance. subtract(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Subtract m from this matrix. subtract(RealMatrix) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Returns this minus m. subtract(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix Subtract m from this matrix. subtract(Array2DRowRealMatrix) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix Returns this minus m. subtract(FieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Compute this minus v. subtract(ArrayFieldVector<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Compute this minus v. subtract(RealVector) - Method in class org.apache.commons.math3.linear.ArrayRealVector Subtract v from this vector. subtract(FieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Subtract m from this matrix. subtract(BlockFieldMatrix<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Compute this - m. subtract(RealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Returns this minus m. subtract(BlockRealMatrix) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Subtract m from this matrix. subtract(DiagonalMatrix) - Method in class org.apache.commons.math3.linear.DiagonalMatrix Returns this minus m. subtract(FieldMatrix<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix Subtract m from this matrix. subtract(FieldVector<T>) - Method in interface org.apache.commons.math3.linear.FieldVector Compute this minus v. subtract(RealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix Returns this minus m. subtract(OpenMapRealMatrix) - Method in class org.apache.commons.math3.linear.OpenMapRealMatrix Subtract m from this matrix. subtract(OpenMapRealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector Optimized method to subtract OpenMapRealVectors. subtract(RealVector) - Method in class org.apache.commons.math3.linear.OpenMapRealVector Subtract v from this vector. subtract(RealMatrix) - Method in interface org.apache.commons.math3.linear.RealMatrix Returns this minus m. subtract(RealVector) - Method in class org.apache.commons.math3.linear.RealVector Subtract v from this vector. subtract(SparseFieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector Optimized method to compute this minus v. subtract(FieldVector<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector Compute this minus v. subtract(double) - Method in interface org.apache.commons.math3.RealFieldElement '-' operator. subtract(BigReal) - Method in class org.apache.commons.math3.util.BigReal Compute this - a. subtract(Decimal64) - Method in class org.apache.commons.math3.util.Decimal64 Compute this - a. subtract(double) - Method in class org.apache.commons.math3.util.Decimal64 '-' operator. subtractExact(int, int) - Static method in class org.apache.commons.math3.util.FastMath Subtract two numbers, detecting overflows. subtractExact(long, long) - Static method in class org.apache.commons.math3.util.FastMath Subtract two numbers, detecting overflows. Sum - Class in org.apache.commons.math3.stat.descriptive.summary Returns the sum of the available values. Sum() - Constructor for class org.apache.commons.math3.stat.descriptive.summary.Sum Create a Sum instance Sum(Sum) - Constructor for class org.apache.commons.math3.stat.descriptive.summary.Sum Copy constructor, creates a new Sum identical to the original sum(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils Returns the sum of the values in the input array, or Double.NaN if the array is empty. sum(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils Returns the sum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty. sumDifference(double[], double[]) - Static method in class org.apache.commons.math3.stat.StatUtils Returns the sum of the (signed) differences between corresponding elements of the input arrays -- i.e., sum(sample1[i] - sample2[i]). sumLog(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils Returns the sum of the natural logs of the entries in the input array, or Double.NaN if the array is empty. sumLog(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils Returns the sum of the natural logs of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty. SummaryStatistics - Class in org.apache.commons.math3.stat.descriptive Computes summary statistics for a stream of data values added using the addValue method. SummaryStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.SummaryStatistics Construct a SummaryStatistics instance SummaryStatistics(SummaryStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.SummaryStatistics A copy constructor. SumOfClusterVariances<T extends Clusterable> - Class in org.apache.commons.math3.ml.clustering.evaluation Computes the sum of intra-cluster distance variances according to the formula: SumOfClusterVariances(DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.clustering.evaluation.SumOfClusterVariances SumOfLogs - Class in org.apache.commons.math3.stat.descriptive.summary Returns the sum of the natural logs for this collection of values. SumOfLogs() - Constructor for class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs Create a SumOfLogs instance SumOfLogs(SumOfLogs) - Constructor for class org.apache.commons.math3.stat.descriptive.summary.SumOfLogs Copy constructor, creates a new SumOfLogs identical to the original SumOfSquares - Class in org.apache.commons.math3.stat.descriptive.summary Returns the sum of the squares of the available values. SumOfSquares() - Constructor for class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares Create a SumOfSquares instance SumOfSquares(SumOfSquares) - Constructor for class org.apache.commons.math3.stat.descriptive.summary.SumOfSquares Copy constructor, creates a new SumOfSquares identical to the original sumSq(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils Returns the sum of the squares of the entries in the input array, or Double.NaN if the array is empty. sumSq(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils Returns the sum of the squares of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty. SupportBallGenerator<S extends Space,P extends Point<S>> - Interface in org.apache.commons.math3.geometry.enclosing Interface for generating balls based on support points. SymmetricGaussIntegrator - Class in org.apache.commons.math3.analysis.integration.gauss This class's implements integrate method assuming that the integral is symmetric about 0. SymmetricGaussIntegrator(double[], double[]) - Constructor for class org.apache.commons.math3.analysis.integration.gauss.SymmetricGaussIntegrator Creates an integrator from the given points and weights. SymmetricGaussIntegrator(Pair<double[], double[]>) - Constructor for class org.apache.commons.math3.analysis.integration.gauss.SymmetricGaussIntegrator Creates an integrator from the given pair of points (first element of the pair) and weights (second element of the pair. SymmLQ - Class in org.apache.commons.math3.linear Implementation of the SYMMLQ iterative linear solver proposed by Paige and Saunders (1975). SymmLQ(int, double, boolean) - Constructor for class org.apache.commons.math3.linear.SymmLQ Creates a new instance of this class, with default stopping criterion. SymmLQ(IterationManager, double, boolean) - Constructor for class org.apache.commons.math3.linear.SymmLQ Creates a new instance of this class, with default stopping criterion and custom iteration manager. SynchronizedDescriptiveStatistics - Class in org.apache.commons.math3.stat.descriptive Implementation of DescriptiveStatistics that is safe to use in a multithreaded environment. SynchronizedDescriptiveStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics Construct an instance with infinite window SynchronizedDescriptiveStatistics(int) - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics Construct an instance with finite window SynchronizedDescriptiveStatistics(SynchronizedDescriptiveStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics A copy constructor. SynchronizedMultivariateSummaryStatistics - Class in org.apache.commons.math3.stat.descriptive Implementation of MultivariateSummaryStatistics that is safe to use in a multithreaded environment. SynchronizedMultivariateSummaryStatistics(int, boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics Construct a SynchronizedMultivariateSummaryStatistics instance SynchronizedRandomGenerator - Class in org.apache.commons.math3.random Any RandomGenerator implementation can be thread-safe if it is used through an instance of this class. SynchronizedRandomGenerator(RandomGenerator) - Constructor for class org.apache.commons.math3.random.SynchronizedRandomGenerator Creates a synchronized wrapper for the given RandomGenerator instance. SynchronizedSummaryStatistics - Class in org.apache.commons.math3.stat.descriptive Implementation of SummaryStatistics that is safe to use in a multithreaded environment. SynchronizedSummaryStatistics() - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Construct a SynchronizedSummaryStatistics instance SynchronizedSummaryStatistics(SynchronizedSummaryStatistics) - Constructor for class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics A copy constructor. T t(double, double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils t(double, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils t(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils t(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils t(double, double[]) - Method in class org.apache.commons.math3.stat.inference.TTest Computes a t statistic given observed values and a comparison constant. t(double, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest Computes a t statistic to use in comparing the mean of the dataset described by sampleStats to mu. t(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest Computes a 2-sample t statistic, without the hypothesis of equal subpopulation variances. t(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest Computes a 2-sample t statistic , comparing the means of the datasets described by two StatisticalSummary instances, without the assumption of equal subpopulation variances. t(double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest Computes t test statistic for 1-sample t-test. t(double, double, double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest Computes t test statistic for 2-sample t-test. tan() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Tangent operation. tan(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Compute tangent of a derivative structure. tan() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Tangent operation. Tan - Class in org.apache.commons.math3.analysis.function Tangent function. Tan() - Constructor for class org.apache.commons.math3.analysis.function.Tan tan() - Method in class org.apache.commons.math3.complex.Complex Compute the tangent of this complex number. tan() - Method in class org.apache.commons.math3.dfp.Dfp Tangent operation. tan(Dfp) - Static method in class org.apache.commons.math3.dfp.DfpMath computes the tangent of the argument. tan() - Method in interface org.apache.commons.math3.RealFieldElement Tangent operation. tan() - Method in class org.apache.commons.math3.util.Decimal64 Tangent operation. tan(double) - Static method in class org.apache.commons.math3.util.FastMath Tangent function. tanh() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Hyperbolic tangent operation. tanh(double[], int, double[], int) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Compute hyperbolic tangent of a derivative structure. tanh() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Hyperbolic tangent operation. Tanh - Class in org.apache.commons.math3.analysis.function Hyperbolic tangent function. Tanh() - Constructor for class org.apache.commons.math3.analysis.function.Tanh tanh() - Method in class org.apache.commons.math3.complex.Complex Compute the hyperbolic tangent of this complex number. tanh() - Method in class org.apache.commons.math3.dfp.Dfp Hyperbolic tangent operation. tanh() - Method in interface org.apache.commons.math3.RealFieldElement Hyperbolic tangent operation. tanh() - Method in class org.apache.commons.math3.util.Decimal64 Hyperbolic tangent operation. tanh(double) - Static method in class org.apache.commons.math3.util.FastMath Compute the hyperbolic tangent of a number. target(RealVector) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder Configure the observed data. target(double[]) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder Configure the observed data. Target - Class in org.apache.commons.math3.optim.nonlinear.vector Deprecated. All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the org.apache.commons.math3.fitting.leastsquares package (cf. MATH-1008). Target(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.Target Deprecated. Target - Class in org.apache.commons.math3.optimization Deprecated. As of 3.1 (to be removed in 4.0). Target(double[]) - Constructor for class org.apache.commons.math3.optimization.Target Deprecated. taylor(double...) - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Evaluate Taylor expansion a derivative structure. taylor(double[], int, double...) - Method in class org.apache.commons.math3.analysis.differentiation.DSCompiler Evaluate Taylor expansion of a derivative structure. taylor(double...) - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Evaluate Taylor expansion of a sparse gradient. TDistribution - Class in org.apache.commons.math3.distribution Implementation of Student's t-distribution. TDistribution(double) - Constructor for class org.apache.commons.math3.distribution.TDistribution Create a t distribution using the given degrees of freedom. TDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.TDistribution Create a t distribution using the given degrees of freedom and the specified inverse cumulative probability absolute accuracy. TDistribution(RandomGenerator, double) - Constructor for class org.apache.commons.math3.distribution.TDistribution Creates a t distribution. TDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.TDistribution Creates a t distribution. terminationPerformed(IterationEvent) - Method in interface org.apache.commons.math3.util.IterationListener Invoked after completion of the operations which occur after breaking out of the main iteration loop. test(double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic This method is used by evaluate(double[], int, int) methods to verify that the input parameters designate a subarray of positive length. test(double[], int, int, boolean) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic This method is used by evaluate(double[], int, int) methods to verify that the input parameters designate a subarray of positive length. test(double[], double[], int, int) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic This method is used by evaluate(double[], double[], int, int) methods to verify that the begin and length parameters designate a subarray of positive length and the weights are all non-negative, non-NaN, finite, and not all zero. test(double[], double[], int, int, boolean) - Method in class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic This method is used by evaluate(double[], double[], int, int) methods to verify that the begin and length parameters designate a subarray of positive length and the weights are all non-negative, non-NaN, finite, and not all zero. TestUtils - Class in org.apache.commons.math3.stat.inference A collection of static methods to create inference test instances or to perform inference tests. THREE_FIFTHS - Static variable in class org.apache.commons.math3.fraction.BigFraction A fraction representing "3/5". THREE_FIFTHS - Static variable in class org.apache.commons.math3.fraction.Fraction A fraction representing "3/5". THREE_QUARTERS - Static variable in class org.apache.commons.math3.fraction.BigFraction A fraction representing "3/4". THREE_QUARTERS - Static variable in class org.apache.commons.math3.fraction.Fraction A fraction representing "3/4". ThreeEighthesFieldIntegrator<T extends RealFieldElement<T>> - Class in org.apache.commons.math3.ode.nonstiff This class implements the 3/8 fourth order Runge-Kutta integrator for Ordinary Differential Equations. ThreeEighthesFieldIntegrator(Field<T>, T) - Constructor for class org.apache.commons.math3.ode.nonstiff.ThreeEighthesFieldIntegrator Simple constructor. ThreeEighthesIntegrator - Class in org.apache.commons.math3.ode.nonstiff This class implements the 3/8 fourth order Runge-Kutta integrator for Ordinary Differential Equations. ThreeEighthesIntegrator(double) - Constructor for class org.apache.commons.math3.ode.nonstiff.ThreeEighthesIntegrator Simple constructor. TiesStrategy - Enum in org.apache.commons.math3.stat.ranking Strategies for handling tied values in rank transformations. toArray() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Get the vector coordinates as a dimension 3 array. toArray() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Get the vector coordinates as a dimension 3 array. toArray() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Get the vector coordinates as a dimension 2 array. toArray() - Method in class org.apache.commons.math3.linear.ArrayFieldVector Convert the vector to a T array. toArray() - Method in class org.apache.commons.math3.linear.ArrayRealVector Convert the vector to an array of doubles. toArray() - Method in interface org.apache.commons.math3.linear.FieldVector Convert the vector to a T array. toArray() - Method in class org.apache.commons.math3.linear.OpenMapRealVector Convert the vector to an array of doubles. toArray() - Method in class org.apache.commons.math3.linear.RealVector Convert the vector to an array of doubles. toArray() - Method in class org.apache.commons.math3.linear.SparseFieldVector Convert the vector to a T array. toBlocksLayout(T[][]) - Static method in class org.apache.commons.math3.linear.BlockFieldMatrix Convert a data array from raw layout to blocks layout. toBlocksLayout(double[][]) - Static method in class org.apache.commons.math3.linear.BlockRealMatrix Convert a data array from raw layout to blocks layout. toCartesianGradient(double[]) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates Convert a gradient with respect to spherical coordinates into a gradient with respect to Cartesian coordinates. toCartesianHessian(double[][], double[]) - Method in class org.apache.commons.math3.geometry.euclidean.threed.SphericalCoordinates Convert a Hessian with respect to spherical coordinates into a Hessian with respect to Cartesian coordinates. toDegrees() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Convert radians to degrees, with error of less than 0.5 ULP toDegrees() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Convert radians to degrees, with error of less than 0.5 ULP toDegrees(double) - Static method in class org.apache.commons.math3.util.FastMath Convert radians to degrees, with error of less than 0.5 ULP toDifferentiableMultivariateFunction(MultivariateDifferentiableFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils Deprecated. this conversion method is temporary in version 3.1, as the DifferentiableMultivariateFunction interface itself is deprecated toDifferentiableMultivariateVectorFunction(MultivariateDifferentiableVectorFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils Deprecated. this conversion method is temporary in version 3.1, as the DifferentiableMultivariateVectorFunction interface itself is deprecated toDifferentiableUnivariateFunction(UnivariateDifferentiableFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils Deprecated. this conversion method is temporary in version 3.1, as the DifferentiableUnivariateFunction interface itself is deprecated toDouble() - Method in class org.apache.commons.math3.dfp.Dfp Convert the instance into a double. toIntExact(long) - Static method in class org.apache.commons.math3.util.FastMath Convert a long to interger, detecting overflows toList() - Method in class org.apache.commons.math3.fitting.WeightedObservedPoints Gets a snapshot of the observed points. toMultivariateDifferentiableFunction(DifferentiableMultivariateFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils Deprecated. this conversion method is temporary in version 3.1, as the DifferentiableMultivariateFunction interface itself is deprecated toMultivariateDifferentiableVectorFunction(DifferentiableMultivariateVectorFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils Deprecated. this conversion method is temporary in version 3.1, as the DifferentiableMultivariateFunction interface itself is deprecated TooManyEvaluationsException - Exception in org.apache.commons.math3.exception Exception to be thrown when the maximal number of evaluations is exceeded. TooManyEvaluationsException(Number) - Constructor for exception org.apache.commons.math3.exception.TooManyEvaluationsException Construct the exception. TooManyIterationsException - Exception in org.apache.commons.math3.exception Exception to be thrown when the maximal number of iterations is exceeded. TooManyIterationsException(Number) - Constructor for exception org.apache.commons.math3.exception.TooManyIterationsException Construct the exception. TopographicErrorHistogram - Class in org.apache.commons.math3.ml.neuralnet.twod.util Computes the topographic error histogram. TopographicErrorHistogram(boolean, DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.neuralnet.twod.util.TopographicErrorHistogram toRadians() - Method in class org.apache.commons.math3.analysis.differentiation.DerivativeStructure Convert degrees to radians, with error of less than 0.5 ULP toRadians() - Method in class org.apache.commons.math3.analysis.differentiation.SparseGradient Convert degrees to radians, with error of less than 0.5 ULP toRadians(double) - Static method in class org.apache.commons.math3.util.FastMath Convert degrees to radians, with error of less than 0.5 ULP toRotation() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldRotation Convert to a constant vector without derivatives. toSpace(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line Transform a sub-space point into a space point. toSpace(Point<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line Transform a sub-space point into a space point. toSpace(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane Transform a sub-space point into a space point. toSpace(Point<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane Transform an in-plane point into a 3D space point. toSpace(Vector<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line Transform a sub-space point into a space point. toSpace(Point<Euclidean1D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line Transform a sub-space point into a space point. toSpace(Point<T>) - Method in interface org.apache.commons.math3.geometry.partitioning.Embedding Transform a sub-space point into a space point. toSpace(Point<Sphere1D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle Transform a sub-space point into a space point. toSplitDouble() - Method in class org.apache.commons.math3.dfp.Dfp Convert the instance into a split double. toString() - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction Returns a string representation of the polynomial. toString() - Method in class org.apache.commons.math3.complex.Complex toString() - Method in class org.apache.commons.math3.complex.Quaternion toString() - Method in class org.apache.commons.math3.dfp.Dfp Get a string representation of the instance. toString() - Method in class org.apache.commons.math3.exception.util.DummyLocalizable toString() - Method in class org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer toString() - Method in class org.apache.commons.math3.fraction.BigFraction Returns the String representing this fraction, ie "num / dem" or just "num" if the denominator is one. toString() - Method in class org.apache.commons.math3.fraction.Fraction Returns the String representing this fraction, ie "num / dem" or just "num" if the denominator is one. toString() - Method in class org.apache.commons.math3.genetics.AbstractListChromosome toString() - Method in class org.apache.commons.math3.genetics.ChromosomePair toString() - Method in class org.apache.commons.math3.genetics.ListPopulation toString() - Method in class org.apache.commons.math3.genetics.RandomKey toString() - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D Get a string representation of this vector. toString(NumberFormat) - Method in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D Get a string representation of this vector. toString() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Get a string representation of this vector. toString(NumberFormat) - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Get a string representation of this vector. toString() - Method in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder Get a string representation of the instance. toString() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Get a string representation of this vector. toString(NumberFormat) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Get a string representation of this vector. toString() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Get a string representation of this vector. toString(NumberFormat) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Get a string representation of this vector. toString(NumberFormat) - Method in interface org.apache.commons.math3.geometry.Vector Get a string representation of this vector. toString() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Get a string representation for this matrix. toString() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Get a string representation for this matrix. toString() - Method in class org.apache.commons.math3.linear.ArrayRealVector toString() - Method in class org.apache.commons.math3.ml.clustering.DoublePoint toString() - Method in enum org.apache.commons.math3.optim.linear.Relationship toString() - Method in enum org.apache.commons.math3.optimization.linear.Relationship Deprecated. toString() - Method in class org.apache.commons.math3.stat.clustering.EuclideanDoublePoint Deprecated. toString() - Method in class org.apache.commons.math3.stat.clustering.EuclideanIntegerPoint Deprecated. toString() - Method in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics Generates a text report displaying univariate statistics from values that have been added. toString() - Method in class org.apache.commons.math3.stat.descriptive.MultivariateSummaryStatistics Generates a text report displaying summary statistics from values that have been added. toString() - Method in class org.apache.commons.math3.stat.descriptive.rank.PSquarePercentile Returns a string containing the last observation, the current estimate of the quantile and all markers. toString() - Method in class org.apache.commons.math3.stat.descriptive.StatisticalSummaryValues Generates a text report displaying values of statistics. toString() - Method in class org.apache.commons.math3.stat.descriptive.SummaryStatistics Generates a text report displaying summary statistics from values that have been added. toString() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedDescriptiveStatistics Generates a text report displaying univariate statistics from values that have been added. toString() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedMultivariateSummaryStatistics Generates a text report displaying summary statistics from values that have been added. toString() - Method in class org.apache.commons.math3.stat.descriptive.SynchronizedSummaryStatistics Generates a text report displaying summary statistics from values that have been added. toString() - Method in class org.apache.commons.math3.stat.Frequency Return a string representation of this frequency distribution. toString() - Method in class org.apache.commons.math3.stat.interval.ConfidenceInterval toString() - Method in class org.apache.commons.math3.util.Decimal64 The returned String is equal to Double.toString(this.doubleValue()) toString() - Method in class org.apache.commons.math3.util.MultidimensionalCounter toString() - Method in class org.apache.commons.math3.util.Pair toSubSpace(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line Transform a space point into a sub-space point. toSubSpace(Point<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line Transform a space point into a sub-space point. toSubSpace(Vector<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane Transform a space point into a sub-space point. toSubSpace(Point<Euclidean3D>) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane Transform a 3D space point into an in-plane point. toSubSpace(Vector<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line Transform a space point into a sub-space point. toSubSpace(Point<Euclidean2D>) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line Transform a space point into a sub-space point. toSubSpace(Point<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.Embedding Transform a space point into a sub-space point. toSubSpace(Point<Sphere2D>) - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle Transform a space point into a sub-space point. toUnivariateDifferential(DifferentiableUnivariateFunction) - Static method in class org.apache.commons.math3.analysis.FunctionUtils Deprecated. this conversion method is temporary in version 3.1, as the DifferentiableUnivariateFunction interface itself is deprecated TournamentSelection - Class in org.apache.commons.math3.genetics Tournament selection scheme. TournamentSelection(int) - Constructor for class org.apache.commons.math3.genetics.TournamentSelection Creates a new TournamentSelection instance. toVector3D() - Method in class org.apache.commons.math3.geometry.euclidean.threed.FieldVector3D Convert to a constant vector without derivatives. Transform<S extends Space,T extends Space> - Interface in org.apache.commons.math3.geometry.partitioning This interface represents an inversible affine transform in a space. transform(double[], TransformType) - Method in class org.apache.commons.math3.transform.FastCosineTransformer Returns the (forward, inverse) transform of the specified real data set. transform(UnivariateFunction, double, double, int, TransformType) - Method in class org.apache.commons.math3.transform.FastCosineTransformer Returns the (forward, inverse) transform of the specified real function, sampled on the specified interval. transform(double[], TransformType) - Method in class org.apache.commons.math3.transform.FastFourierTransformer Returns the (forward, inverse) transform of the specified real data set. transform(UnivariateFunction, double, double, int, TransformType) - Method in class org.apache.commons.math3.transform.FastFourierTransformer Returns the (forward, inverse) transform of the specified real function, sampled on the specified interval. transform(Complex[], TransformType) - Method in class org.apache.commons.math3.transform.FastFourierTransformer Returns the (forward, inverse) transform of the specified complex data set. transform(double[], TransformType) - Method in class org.apache.commons.math3.transform.FastHadamardTransformer Returns the (forward, inverse) transform of the specified real data set. transform(UnivariateFunction, double, double, int, TransformType) - Method in class org.apache.commons.math3.transform.FastHadamardTransformer Returns the (forward, inverse) transform of the specified real function, sampled on the specified interval. transform(int[]) - Method in class org.apache.commons.math3.transform.FastHadamardTransformer Returns the forward transform of the specified integer data set.The integer transform cannot be inverted directly, due to a scaling factor which may lead to double results. transform(double[], TransformType) - Method in class org.apache.commons.math3.transform.FastSineTransformer Returns the (forward, inverse) transform of the specified real data set. transform(UnivariateFunction, double, double, int, TransformType) - Method in class org.apache.commons.math3.transform.FastSineTransformer Returns the (forward, inverse) transform of the specified real function, sampled on the specified interval. transform(double[], TransformType) - Method in interface org.apache.commons.math3.transform.RealTransformer Returns the (forward, inverse) transform of the specified real data set. transform(UnivariateFunction, double, double, int, TransformType) - Method in interface org.apache.commons.math3.transform.RealTransformer Returns the (forward, inverse) transform of the specified real function, sampled on the specified interval. transform(Object) - Method in class org.apache.commons.math3.util.DefaultTransformer transform(Object) - Method in interface org.apache.commons.math3.util.NumberTransformer Implementing this interface provides a facility to transform from Object to Double. transform(Object) - Method in class org.apache.commons.math3.util.TransformerMap Attempts to transform the Object against the map of NumberTransformers. TransformerMap - Class in org.apache.commons.math3.util This TansformerMap automates the transformation of mixed object types. TransformerMap() - Constructor for class org.apache.commons.math3.util.TransformerMap Build a map containing only the default transformer. transformers() - Method in class org.apache.commons.math3.util.TransformerMap Returns the Set of NumberTransformers used as values in the map. transformInPlace(double[][], DftNormalization, TransformType) - Static method in class org.apache.commons.math3.transform.FastFourierTransformer Computes the standard transform of the specified complex data. TransformType - Enum in org.apache.commons.math3.transform This enumeration defines the type of transform which is to be computed. TransformUtils - Class in org.apache.commons.math3.transform Useful functions for the implementation of various transforms. translate(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane Translate the plane by the specified amount. translate(Vector3D) - Method in class org.apache.commons.math3.geometry.euclidean.threed.PolyhedronsSet Translate the region by the specified amount. translateToPoint(Vector2D) - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line Translate the line to force it passing by a point. transpose() - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Returns the transpose of this matrix. transpose() - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Returns the transpose of this matrix. transpose() - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Returns the transpose of this matrix. transpose() - Method in class org.apache.commons.math3.linear.BlockRealMatrix Returns the transpose of this matrix. transpose() - Method in interface org.apache.commons.math3.linear.FieldMatrix Returns the transpose of this matrix. transpose() - Method in interface org.apache.commons.math3.linear.RealMatrix Returns the transpose of this matrix. trap(int, String, Dfp, Dfp, Dfp) - Method in class org.apache.commons.math3.dfp.Dfp Trap handler. TRAPEZOID_MAX_ITERATIONS_COUNT - Static variable in class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator Maximum number of iterations for trapezoid. TrapezoidIntegrator - Class in org.apache.commons.math3.analysis.integration Implements the Trapezoid Rule for integration of real univariate functions. TrapezoidIntegrator(double, double, int, int) - Constructor for class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator Build a trapezoid integrator with given accuracies and iterations counts. TrapezoidIntegrator(int, int) - Constructor for class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator Build a trapezoid integrator with given iteration counts. TrapezoidIntegrator() - Constructor for class org.apache.commons.math3.analysis.integration.TrapezoidIntegrator Construct a trapezoid integrator with default settings. TriangularDistribution - Class in org.apache.commons.math3.distribution Implementation of the triangular real distribution. TriangularDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.TriangularDistribution Creates a triangular real distribution using the given lower limit, upper limit, and mode. TriangularDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.TriangularDistribution Creates a triangular distribution. TricubicInterpolatingFunction - Class in org.apache.commons.math3.analysis.interpolation Function that implements the tricubic spline interpolation, as proposed in Tricubic interpolation in three dimensions, F. TricubicInterpolatingFunction(double[], double[], double[], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][]) - Constructor for class org.apache.commons.math3.analysis.interpolation.TricubicInterpolatingFunction TricubicInterpolator - Class in org.apache.commons.math3.analysis.interpolation Generates a tricubic interpolating function. TricubicInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.TricubicInterpolator TricubicSplineInterpolatingFunction - Class in org.apache.commons.math3.analysis.interpolation Deprecated. To be removed in 4.0 (see MATH-1166). TricubicSplineInterpolatingFunction(double[], double[], double[], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][]) - Constructor for class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolatingFunction Deprecated. TricubicSplineInterpolator - Class in org.apache.commons.math3.analysis.interpolation Deprecated. To be removed in 4.0 (see MATH-1166). TricubicSplineInterpolator() - Constructor for class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolator Deprecated. trigamma(double) - Static method in class org.apache.commons.math3.special.Gamma Computes the trigamma function of x. trigger(int) - Method in interface org.apache.commons.math3.util.Incrementor.MaxCountExceededCallback Deprecated. Function called when the maximal count has been reached. trigger(int) - Method in interface org.apache.commons.math3.util.IntegerSequence.Incrementor.MaxCountExceededCallback Function called when the maximal count has been reached. TrivariateFunction - Interface in org.apache.commons.math3.analysis An interface representing a trivariate real function. TrivariateGridInterpolator - Interface in org.apache.commons.math3.analysis.interpolation Interface representing a trivariate real interpolating function where the sample points must be specified on a regular grid. trunc(DfpField.RoundingMode) - Method in class org.apache.commons.math3.dfp.Dfp Does the integer conversions with the specified rounding. tTest(double, double[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils tTest(double, double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils tTest(double, StatisticalSummary, double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils tTest(double, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils tTest(double[], double[], double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils tTest(double[], double[]) - Static method in class org.apache.commons.math3.stat.inference.TestUtils tTest(StatisticalSummary, StatisticalSummary, double) - Static method in class org.apache.commons.math3.stat.inference.TestUtils tTest(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math3.stat.inference.TestUtils TTest - Class in org.apache.commons.math3.stat.inference An implementation for Student's t-tests. TTest() - Constructor for class org.apache.commons.math3.stat.inference.TTest tTest(double, double[]) - Method in class org.apache.commons.math3.stat.inference.TTest Returns the observed significance level, or p-value, associated with a one-sample, two-tailed t-test comparing the mean of the input array with the constant mu. tTest(double, double[], double) - Method in class org.apache.commons.math3.stat.inference.TTest Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which sample is drawn equals mu. tTest(double, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest Returns the observed significance level, or p-value, associated with a one-sample, two-tailed t-test comparing the mean of the dataset described by sampleStats with the constant mu. tTest(double, StatisticalSummary, double) - Method in class org.apache.commons.math3.stat.inference.TTest Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which the dataset described by stats is drawn equals mu. tTest(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.TTest Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the input arrays. tTest(double[], double[], double) - Method in class org.apache.commons.math3.stat.inference.TTest Performs a two-sided t-test evaluating the null hypothesis that sample1 and sample2 are drawn from populations with the same mean, with significance level alpha. tTest(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math3.stat.inference.TTest Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two StatisticalSummary instances. tTest(StatisticalSummary, StatisticalSummary, double) - Method in class org.apache.commons.math3.stat.inference.TTest Performs a two-sided t-test evaluating the null hypothesis that sampleStats1 and sampleStats2 describe datasets drawn from populations with the same mean, with significance level alpha. tTest(double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest Computes p-value for 2-sided, 1-sample t-test. tTest(double, double, double, double, double, double) - Method in class org.apache.commons.math3.stat.inference.TTest Computes p-value for 2-sided, 2-sample t-test. TWO - Static variable in class org.apache.commons.math3.fraction.BigFraction A fraction representing "2 / 1". TWO - Static variable in class org.apache.commons.math3.fraction.Fraction A fraction representing "2 / 1". TWO_FIFTHS - Static variable in class org.apache.commons.math3.fraction.BigFraction A fraction representing "2/5". TWO_FIFTHS - Static variable in class org.apache.commons.math3.fraction.Fraction A fraction representing "2/5". TWO_PI - Static variable in class org.apache.commons.math3.util.MathUtils $2\pi$ TWO_QUARTERS - Static variable in class org.apache.commons.math3.fraction.BigFraction A fraction representing "2/4". TWO_QUARTERS - Static variable in class org.apache.commons.math3.fraction.Fraction A fraction representing "2/4". TWO_THIRDS - Static variable in class org.apache.commons.math3.fraction.BigFraction A fraction representing "2/3". TWO_THIRDS - Static variable in class org.apache.commons.math3.fraction.Fraction A fraction representing "2/3". U Ulp - Class in org.apache.commons.math3.analysis.function ulp function. Ulp() - Constructor for class org.apache.commons.math3.analysis.function.Ulp ulp(double) - Static method in class org.apache.commons.math3.util.FastMath Compute least significant bit (Unit in Last Position) for a number. ulp(float) - Static method in class org.apache.commons.math3.util.FastMath Compute least significant bit (Unit in Last Position) for a number. unbounded(int) - Static method in class org.apache.commons.math3.optim.SimpleBounds Factory method that creates instance of this class that represents unbounded ranges. UnboundedSolutionException - Exception in org.apache.commons.math3.optim.linear This class represents exceptions thrown by optimizers when a solution escapes to infinity. UnboundedSolutionException() - Constructor for exception org.apache.commons.math3.optim.linear.UnboundedSolutionException Simple constructor using a default message. UnboundedSolutionException - Exception in org.apache.commons.math3.optimization.linear Deprecated. As of 3.1 (to be removed in 4.0). UnboundedSolutionException() - Constructor for exception org.apache.commons.math3.optimization.linear.UnboundedSolutionException Deprecated. Simple constructor using a default message. unboundedToBounded(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter Maps an array from unbounded to bounded. unboundedToBounded(double[]) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter Deprecated. Map an array from unbounded to bounded. UncorrelatedRandomVectorGenerator - Class in org.apache.commons.math3.random A RandomVectorGenerator that generates vectors with uncorrelated components. UncorrelatedRandomVectorGenerator(double[], double[], NormalizedRandomGenerator) - Constructor for class org.apache.commons.math3.random.UncorrelatedRandomVectorGenerator Simple constructor. UncorrelatedRandomVectorGenerator(int, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math3.random.UncorrelatedRandomVectorGenerator Simple constructor. unequal(Dfp) - Method in class org.apache.commons.math3.dfp.Dfp Check if instance is not equal to x. UnifiedDistanceMatrix - Class in org.apache.commons.math3.ml.neuralnet.twod.util U-Matrix visualization of high-dimensional data projection. UnifiedDistanceMatrix(boolean, DistanceMeasure) - Constructor for class org.apache.commons.math3.ml.neuralnet.twod.util.UnifiedDistanceMatrix Simple constructor. uniform(RandomGenerator, double, double) - Static method in class org.apache.commons.math3.ml.neuralnet.FeatureInitializerFactory Uniform sampling of the given range. uniform(double, double) - Static method in class org.apache.commons.math3.ml.neuralnet.FeatureInitializerFactory Uniform sampling of the given range. UNIFORM_MODE - Static variable in class org.apache.commons.math3.random.ValueServer Uniform random deviates with mean = μ. UniformCrossover<T> - Class in org.apache.commons.math3.genetics Perform Uniform Crossover [UX] on the specified chromosomes. UniformCrossover(double) - Constructor for class org.apache.commons.math3.genetics.UniformCrossover Creates a new UniformCrossover policy using the given mixing ratio. UniformIntegerDistribution - Class in org.apache.commons.math3.distribution Implementation of the uniform integer distribution. UniformIntegerDistribution(int, int) - Constructor for class org.apache.commons.math3.distribution.UniformIntegerDistribution Creates a new uniform integer distribution using the given lower and upper bounds (both inclusive). UniformIntegerDistribution(RandomGenerator, int, int) - Constructor for class org.apache.commons.math3.distribution.UniformIntegerDistribution Creates a new uniform integer distribution using the given lower and upper bounds (both inclusive). UniformRandomGenerator - Class in org.apache.commons.math3.random This class implements a normalized uniform random generator. UniformRandomGenerator(RandomGenerator) - Constructor for class org.apache.commons.math3.random.UniformRandomGenerator Create a new generator. UniformRealDistribution - Class in org.apache.commons.math3.distribution Implementation of the uniform real distribution. UniformRealDistribution() - Constructor for class org.apache.commons.math3.distribution.UniformRealDistribution Create a standard uniform real distribution with lower bound (inclusive) equal to zero and upper bound (exclusive) equal to one. UniformRealDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.UniformRealDistribution Create a uniform real distribution using the given lower and upper bounds. UniformRealDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.UniformRealDistribution Deprecated. as of 3.2, inverse CDF is now calculated analytically, use UniformRealDistribution.UniformRealDistribution(double, double) instead. UniformRealDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.UniformRealDistribution Deprecated. as of 3.2, inverse CDF is now calculated analytically, use UniformRealDistribution.UniformRealDistribution(RandomGenerator, double, double) instead. UniformRealDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.UniformRealDistribution Creates a uniform distribution. union(Region<S>, Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory Compute the union of two regions. unique(double[]) - Static method in class org.apache.commons.math3.util.MathArrays Returns an array consisting of the unique values in data. unitize() - Method in class org.apache.commons.math3.linear.OpenMapRealVector Converts this vector into a unit vector. unitize() - Method in class org.apache.commons.math3.linear.RealVector Converts this vector into a unit vector. UnitSphereRandomVectorGenerator - Class in org.apache.commons.math3.random Generate random vectors isotropically located on the surface of a sphere. UnitSphereRandomVectorGenerator(int, RandomGenerator) - Constructor for class org.apache.commons.math3.random.UnitSphereRandomVectorGenerator UnitSphereRandomVectorGenerator(int) - Constructor for class org.apache.commons.math3.random.UnitSphereRandomVectorGenerator Create an object that will use a default RNG (MersenneTwister), in order to generate the individual components. unitVector() - Method in class org.apache.commons.math3.linear.OpenMapRealVector Creates a unit vector pointing in the direction of this vector. unitVector() - Method in class org.apache.commons.math3.linear.RealVector Creates a unit vector pointing in the direction of this vector. UnivariateDfpFunction - Interface in org.apache.commons.math3.dfp Deprecated. as of 3.6, replaced with RealFieldUnivariateFunction UnivariateDifferentiableFunction - Interface in org.apache.commons.math3.analysis.differentiation Interface for univariate functions derivatives. UnivariateDifferentiableMatrixFunction - Interface in org.apache.commons.math3.analysis.differentiation Extension of UnivariateMatrixFunction representing a univariate differentiable matrix function. UnivariateDifferentiableSolver - Interface in org.apache.commons.math3.analysis.solvers Interface for (univariate real) rootfinding algorithms. UnivariateDifferentiableVectorFunction - Interface in org.apache.commons.math3.analysis.differentiation Extension of UnivariateVectorFunction representing a univariate differentiable vectorial function. UnivariateFunction - Interface in org.apache.commons.math3.analysis An interface representing a univariate real function. UnivariateFunctionDifferentiator - Interface in org.apache.commons.math3.analysis.differentiation Interface defining the function differentiation operation. UnivariateIntegrator - Interface in org.apache.commons.math3.analysis.integration Interface for univariate real integration algorithms. UnivariateInterpolator - Interface in org.apache.commons.math3.analysis.interpolation Interface representing a univariate real interpolating function. UnivariateMatrixFunction - Interface in org.apache.commons.math3.analysis An interface representing a univariate matrix function. UnivariateMatrixFunctionDifferentiator - Interface in org.apache.commons.math3.analysis.differentiation Interface defining the function differentiation operation. UnivariateMultiStartOptimizer<FUNC extends UnivariateFunction> - Class in org.apache.commons.math3.optimization.univariate Deprecated. As of 3.1 (to be removed in 4.0). UnivariateMultiStartOptimizer(BaseUnivariateOptimizer<FUNC>, int, RandomGenerator) - Constructor for class org.apache.commons.math3.optimization.univariate.UnivariateMultiStartOptimizer Deprecated. Create a multi-start optimizer from a single-start optimizer. UnivariateObjectiveFunction - Class in org.apache.commons.math3.optim.univariate Scalar function to be optimized. UnivariateObjectiveFunction(UnivariateFunction) - Constructor for class org.apache.commons.math3.optim.univariate.UnivariateObjectiveFunction UnivariateOptimizer - Class in org.apache.commons.math3.optim.univariate Base class for a univariate scalar function optimizer. UnivariateOptimizer(ConvergenceChecker<UnivariatePointValuePair>) - Constructor for class org.apache.commons.math3.optim.univariate.UnivariateOptimizer UnivariateOptimizer - Interface in org.apache.commons.math3.optimization.univariate Deprecated. As of 3.1 (to be removed in 4.0). UnivariatePeriodicInterpolator - Class in org.apache.commons.math3.analysis.interpolation Adapter for classes implementing the UnivariateInterpolator interface. UnivariatePeriodicInterpolator(UnivariateInterpolator, double, int) - Constructor for class org.apache.commons.math3.analysis.interpolation.UnivariatePeriodicInterpolator Builds an interpolator. UnivariatePeriodicInterpolator(UnivariateInterpolator, double) - Constructor for class org.apache.commons.math3.analysis.interpolation.UnivariatePeriodicInterpolator Builds an interpolator. UnivariatePointValuePair - Class in org.apache.commons.math3.optim.univariate This class holds a point and the value of an objective function at this point. UnivariatePointValuePair(double, double) - Constructor for class org.apache.commons.math3.optim.univariate.UnivariatePointValuePair Build a point/objective function value pair. UnivariatePointValuePair - Class in org.apache.commons.math3.optimization.univariate Deprecated. As of 3.1 (to be removed in 4.0). UnivariatePointValuePair(double, double) - Constructor for class org.apache.commons.math3.optimization.univariate.UnivariatePointValuePair Deprecated. Build a point/objective function value pair. UnivariateSolver - Interface in org.apache.commons.math3.analysis.solvers Interface for (univariate real) root-finding algorithms. UnivariateSolverUtils - Class in org.apache.commons.math3.analysis.solvers Utility routines for UnivariateSolver objects. UnivariateStatistic - Interface in org.apache.commons.math3.stat.descriptive Base interface implemented by all statistics. UnivariateVectorFunction - Interface in org.apache.commons.math3.analysis An interface representing a univariate vectorial function. UnivariateVectorFunctionDifferentiator - Interface in org.apache.commons.math3.analysis.differentiation Interface defining the function differentiation operation. UnknownParameterException - Exception in org.apache.commons.math3.ode Exception to be thrown when a parameter is unknown. UnknownParameterException(String) - Constructor for exception org.apache.commons.math3.ode.UnknownParameterException Construct an exception from the unknown parameter. unlimited() - Static method in class org.apache.commons.math3.optim.MaxEval Factory method that creates instance of this class that represents a virtually unlimited number of evaluations. unlimited() - Static method in class org.apache.commons.math3.optim.MaxIter Factory method that creates instance of this class that represents a virtually unlimited number of iterations. unmodifiableRealVector(RealVector) - Static method in class org.apache.commons.math3.linear.RealVector Returns an unmodifiable view of the specified vector. update(Network, double[]) - Method in class org.apache.commons.math3.ml.neuralnet.sofm.KohonenUpdateAction Updates the network in response to the sample features. update(Network, double[]) - Method in interface org.apache.commons.math3.ml.neuralnet.UpdateAction Updates the network in response to the sample features. UpdateAction - Interface in org.apache.commons.math3.ml.neuralnet Describes how to update the network in response to a training sample. updateHighOrderDerivativesPhase1(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsFieldIntegrator Update the high order scaled derivatives for Adams integrators (phase 1). updateHighOrderDerivativesPhase1(Array2DRowRealMatrix) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator Update the high order scaled derivatives for Adams integrators (phase 1). updateHighOrderDerivativesPhase1(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckFieldTransformer Update the high order scaled derivatives for Adams integrators (phase 1). updateHighOrderDerivativesPhase1(Array2DRowRealMatrix) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer Update the high order scaled derivatives for Adams integrators (phase 1). updateHighOrderDerivativesPhase2(T[], T[], Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsFieldIntegrator Update the high order scaled derivatives Adams integrators (phase 2). updateHighOrderDerivativesPhase2(double[], double[], Array2DRowRealMatrix) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsIntegrator Update the high order scaled derivatives Adams integrators (phase 2). updateHighOrderDerivativesPhase2(T[], T[], Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckFieldTransformer Update the high order scaled derivatives Adams integrators (phase 2). updateHighOrderDerivativesPhase2(double[], double[], Array2DRowRealMatrix) - Method in class org.apache.commons.math3.ode.nonstiff.AdamsNordsieckTransformer Update the high order scaled derivatives Adams integrators (phase 2). updateJacobian() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer Deprecated. As of 3.1. Please use AbstractLeastSquaresOptimizer.computeWeightedJacobian(double[]) instead. updateResidualsAndCost() - Method in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer Deprecated. As of 3.1. Please use AbstractLeastSquaresOptimizer.computeResiduals(double[]), BaseAbstractMultivariateVectorOptimizer.computeObjectiveValue(double[]), AbstractLeastSquaresOptimizer.computeCost(double[]) and AbstractLeastSquaresOptimizer.setCost(double) instead. UpdatingMultipleLinearRegression - Interface in org.apache.commons.math3.stat.regression An interface for regression models allowing for dynamic updating of the data. upperCumulativeProbability(int) - Method in class org.apache.commons.math3.distribution.HypergeometricDistribution For this distribution, X, this method returns P(X >= x). UPSIDE_VARIANCE - Static variable in class org.apache.commons.math3.stat.descriptive.moment.SemiVariance The UPSIDE Direction is used to specify that the observations above the cutoff point will be used to calculate SemiVariance. V v - Variable in class org.apache.commons.math3.random.AbstractWell Bytes pool. validate(RealVector) - Method in interface org.apache.commons.math3.fitting.leastsquares.ParameterValidator Validates the set of parameters. validateCovarianceData(double[][], double[][]) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression Validates that the x data and covariance matrix have the same number of rows and that the covariance matrix is square. validateSampleData(double[][], double[]) - Method in class org.apache.commons.math3.stat.regression.AbstractMultipleLinearRegression Validates sample data. value(double, double) - Method in interface org.apache.commons.math3.analysis.BivariateFunction Compute the value for the function. value(double[]) - Method in class org.apache.commons.math3.analysis.differentiation.GradientFunction Compute the value for the function at the given point. value(double[]) - Method in class org.apache.commons.math3.analysis.differentiation.JacobianFunction Compute the value for the function at the given point. value(DerivativeStructure[]) - Method in interface org.apache.commons.math3.analysis.differentiation.MultivariateDifferentiableFunction Compute the value for the function at the given point. value(DerivativeStructure[]) - Method in interface org.apache.commons.math3.analysis.differentiation.MultivariateDifferentiableVectorFunction Compute the value for the function at the given point. value(DerivativeStructure) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableFunction Simple mathematical function. value(DerivativeStructure) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableMatrixFunction Compute the value for the function. value(DerivativeStructure) - Method in interface org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableVectorFunction Compute the value for the function. value(double) - Method in class org.apache.commons.math3.analysis.function.Abs Compute the value of the function. value(double) - Method in class org.apache.commons.math3.analysis.function.Acos Compute the value of the function. value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Acos Simple mathematical function. value(double) - Method in class org.apache.commons.math3.analysis.function.Acosh Compute the value of the function. value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Acosh Simple mathematical function. value(double, double) - Method in class org.apache.commons.math3.analysis.function.Add Compute the value for the function. value(double) - Method in class org.apache.commons.math3.analysis.function.Asin Compute the value of the function. value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Asin Simple mathematical function. value(double) - Method in class org.apache.commons.math3.analysis.function.Asinh Compute the value of the function. value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Asinh Simple mathematical function. value(double) - Method in class org.apache.commons.math3.analysis.function.Atan Compute the value of the function. value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Atan Simple mathematical function. value(double, double) - Method in class org.apache.commons.math3.analysis.function.Atan2 Compute the value for the function. value(double) - Method in class org.apache.commons.math3.analysis.function.Atanh Compute the value of the function. value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Atanh Simple mathematical function. value(double) - Method in class org.apache.commons.math3.analysis.function.Cbrt Compute the value of the function. value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Cbrt Simple mathematical function. value(double) - Method in class org.apache.commons.math3.analysis.function.Ceil Compute the value of the function. value(double) - Method in class org.apache.commons.math3.analysis.function.Constant Compute the value of the function. value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Constant Simple mathematical function. value(double) - Method in class org.apache.commons.math3.analysis.function.Cos Compute the value of the function. value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Cos Simple mathematical function. value(double) - Method in class org.apache.commons.math3.analysis.function.Cosh Compute the value of the function. value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Cosh Simple mathematical function. value(double, double) - Method in class org.apache.commons.math3.analysis.function.Divide Compute the value for the function. value(double) - Method in class org.apache.commons.math3.analysis.function.Exp Compute the value of the function. value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Exp Simple mathematical function. value(double) - Method in class org.apache.commons.math3.analysis.function.Expm1 Compute the value of the function. value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Expm1 Simple mathematical function. value(double) - Method in class org.apache.commons.math3.analysis.function.Floor Compute the value of the function. value(double, double...) - Method in class org.apache.commons.math3.analysis.function.Gaussian.Parametric Computes the value of the Gaussian at x. value(double) - Method in class org.apache.commons.math3.analysis.function.Gaussian Compute the value of the function. value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Gaussian Simple mathematical function. value(double, double...) - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator.Parametric Computes the value of the harmonic oscillator at x. value(double) - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator Compute the value of the function. value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.HarmonicOscillator Simple mathematical function. value(double) - Method in class org.apache.commons.math3.analysis.function.Identity Compute the value of the function. value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Identity Simple mathematical function. value(double) - Method in class org.apache.commons.math3.analysis.function.Inverse Compute the value of the function. value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Inverse Simple mathematical function. value(double) - Method in class org.apache.commons.math3.analysis.function.Log Compute the value of the function. value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Log Simple mathematical function. value(double) - Method in class org.apache.commons.math3.analysis.function.Log10 Compute the value of the function. value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Log10 Simple mathematical function. value(double) - Method in class org.apache.commons.math3.analysis.function.Log1p Compute the value of the function. value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Log1p Simple mathematical function. value(double, double...) - Method in class org.apache.commons.math3.analysis.function.Logistic.Parametric Computes the value of the sigmoid at x. value(double) - Method in class org.apache.commons.math3.analysis.function.Logistic Compute the value of the function. value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Logistic Simple mathematical function. value(double, double...) - Method in class org.apache.commons.math3.analysis.function.Logit.Parametric Computes the value of the logit at x. value(double) - Method in class org.apache.commons.math3.analysis.function.Logit Compute the value of the function. value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Logit Simple mathematical function. value(double, double) - Method in class org.apache.commons.math3.analysis.function.Max Compute the value for the function. value(double, double) - Method in class org.apache.commons.math3.analysis.function.Min Compute the value for the function. value(double) - Method in class org.apache.commons.math3.analysis.function.Minus Compute the value of the function. value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Minus Simple mathematical function. value(double, double) - Method in class org.apache.commons.math3.analysis.function.Multiply Compute the value for the function. value(double, double) - Method in class org.apache.commons.math3.analysis.function.Pow Compute the value for the function. value(double) - Method in class org.apache.commons.math3.analysis.function.Power Compute the value of the function. value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Power Simple mathematical function. value(double) - Method in class org.apache.commons.math3.analysis.function.Rint Compute the value of the function. value(double, double...) - Method in class org.apache.commons.math3.analysis.function.Sigmoid.Parametric Computes the value of the sigmoid at x. value(double) - Method in class org.apache.commons.math3.analysis.function.Sigmoid Compute the value of the function. value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sigmoid Simple mathematical function. value(double) - Method in class org.apache.commons.math3.analysis.function.Signum Compute the value of the function. value(double) - Method in class org.apache.commons.math3.analysis.function.Sin Compute the value of the function. value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sin Simple mathematical function. value(double) - Method in class org.apache.commons.math3.analysis.function.Sinc Compute the value of the function. value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sinc Simple mathematical function. value(double) - Method in class org.apache.commons.math3.analysis.function.Sinh Compute the value of the function. value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sinh Simple mathematical function. value(double) - Method in class org.apache.commons.math3.analysis.function.Sqrt Compute the value of the function. value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Sqrt Simple mathematical function. value(double) - Method in class org.apache.commons.math3.analysis.function.StepFunction Compute the value of the function. value(double, double) - Method in class org.apache.commons.math3.analysis.function.Subtract Compute the value for the function. value(double) - Method in class org.apache.commons.math3.analysis.function.Tan Compute the value of the function. value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Tan Simple mathematical function. value(double) - Method in class org.apache.commons.math3.analysis.function.Tanh Compute the value of the function. value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.function.Tanh Simple mathematical function. value(double) - Method in class org.apache.commons.math3.analysis.function.Ulp Compute the value of the function. value(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicInterpolatingFunction Compute the value for the function. value(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.BicubicSplineInterpolatingFunction Deprecated. Compute the value for the function. value(T) - Method in class org.apache.commons.math3.analysis.interpolation.FieldHermiteInterpolator Interpolate value at a specified abscissa. value(double) - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator Interpolate value at a specified abscissa. value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.interpolation.HermiteInterpolator Interpolate value at a specified abscissa. value(double[], double[][], double[], double, double) - Method in class org.apache.commons.math3.analysis.interpolation.InterpolatingMicrosphere Estimate the value at the requested location. value(double[]) - Method in class org.apache.commons.math3.analysis.interpolation.MicrosphereInterpolatingFunction Deprecated. value(double, double) - Method in class org.apache.commons.math3.analysis.interpolation.PiecewiseBicubicSplineInterpolatingFunction Compute the value for the function. value(double, double, double) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicInterpolatingFunction Compute the value for the function. value(double, double, double) - Method in class org.apache.commons.math3.analysis.interpolation.TricubicSplineInterpolatingFunction Deprecated. Compute the value for the function. value(double[]) - Method in interface org.apache.commons.math3.analysis.MultivariateFunction Compute the value for the function at the given point. value(double[]) - Method in interface org.apache.commons.math3.analysis.MultivariateMatrixFunction Compute the value for the function at the given point. value(double[]) - Method in interface org.apache.commons.math3.analysis.MultivariateVectorFunction Compute the value for the function at the given point. value(double, double...) - Method in interface org.apache.commons.math3.analysis.ParametricUnivariateFunction Compute the value of the function. value(double, double...) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction.Parametric Compute the value of the function. value(double) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction Compute the value of the function for the given argument. value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunction Simple mathematical function. value(double) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm Calculate the function value at the given point. value(double) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm Calculate the function value at the given point. value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm Simple mathematical function. value(double) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction Compute the value for the function. value(DerivativeStructure) - Method in class org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction Simple mathematical function. value(T) - Method in interface org.apache.commons.math3.analysis.RealFieldUnivariateFunction Compute the value of the function. value(double, double, double) - Method in interface org.apache.commons.math3.analysis.TrivariateFunction Compute the value for the function. value(double) - Method in interface org.apache.commons.math3.analysis.UnivariateFunction Compute the value of the function. value(double) - Method in interface org.apache.commons.math3.analysis.UnivariateMatrixFunction Compute the value for the function. value(double) - Method in interface org.apache.commons.math3.analysis.UnivariateVectorFunction Compute the value for the function. value(Dfp) - Method in interface org.apache.commons.math3.dfp.UnivariateDfpFunction Deprecated. Compute the value of the function. value(RealVector) - Method in interface org.apache.commons.math3.fitting.leastsquares.MultivariateJacobianFunction Compute the function value and its Jacobian. value() - Method in interface org.apache.commons.math3.ml.neuralnet.FeatureInitializer Selects the initial value. value(long) - Method in interface org.apache.commons.math3.ml.neuralnet.sofm.LearningFactorFunction Computes the learning rate at the current call. value(long) - Method in interface org.apache.commons.math3.ml.neuralnet.sofm.NeighbourhoodSizeFunction Computes the neighbourhood size at the current call. value(long) - Method in class org.apache.commons.math3.ml.neuralnet.sofm.util.ExponentialDecayFunction Computes a e^{-numCall / b}. value(long) - Method in class org.apache.commons.math3.ml.neuralnet.sofm.util.QuasiSigmoidDecayFunction Computes the value of the learning factor. value(double[]) - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction Computes the value of the linear equation at the current point. value(RealVector) - Method in class org.apache.commons.math3.optim.linear.LinearObjectiveFunction Computes the value of the linear equation at the current point. value(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.LeastSquaresConverter Compute the value for the function at the given point. value(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter Compute the underlying function value from an unbounded point. value(double[]) - Method in class org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionPenaltyAdapter Computes the underlying function value from an unbounded point. value(double[]) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionMappingAdapter Deprecated. Compute the underlying function value from an unbounded point. value(double[]) - Method in class org.apache.commons.math3.optimization.direct.MultivariateFunctionPenaltyAdapter Deprecated. Compute the underlying function value from an unbounded point. value(double[]) - Method in class org.apache.commons.math3.optimization.LeastSquaresConverter Deprecated. Compute the value for the function at the given point. value(double) - Method in class org.apache.commons.math3.special.BesselJ Returns the value of the constructed Bessel function of the first kind, for the passed argument. value(double, double) - Static method in class org.apache.commons.math3.special.BesselJ Returns the first Bessel function, $J_{order}(x)$. value() - Method in class org.apache.commons.math3.util.OpenIntToDoubleHashMap.Iterator Get the value of current entry. value() - Method in class org.apache.commons.math3.util.OpenIntToFieldHashMap.Iterator Get the value of current entry. ValueAndJacobianFunction - Interface in org.apache.commons.math3.fitting.leastsquares A interface for functions that compute a vector of values and can compute their derivatives (Jacobian). valueOf(String) - Static method in enum org.apache.commons.math3.analysis.solvers.AllowedSolution Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.analysis.solvers.BaseSecantSolver.Method Returns the enum constant of this type with the specified name. valueOf(double, double) - Static method in class org.apache.commons.math3.complex.Complex Create a complex number given the real and imaginary parts. valueOf(double) - Static method in class org.apache.commons.math3.complex.Complex Create a complex number given only the real part. valueOf(String) - Static method in enum org.apache.commons.math3.dfp.DfpField.RoundingMode Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.exception.util.LocalizedFormats Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer.Decomposition Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.geometry.euclidean.threed.RotationConvention Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor.Order Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.geometry.partitioning.Region.Location Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.geometry.partitioning.Side Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.ml.neuralnet.SquareNeighbourhood Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D.HorizontalDirection Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D.VerticalDirection Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.ode.events.Action Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.ode.events.EventHandler.Action Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.ode.events.FilterType Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.ode.sampling.StepNormalizerMode Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.optim.linear.PivotSelectionRule Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.optim.linear.Relationship Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.optim.nonlinear.scalar.GoalType Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.Formula Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.optimization.general.ConjugateGradientFormula Deprecated. Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.optimization.GoalType Deprecated. Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.optimization.linear.Relationship Deprecated. Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy Deprecated. Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.stat.descriptive.moment.SemiVariance.Direction Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.stat.inference.AlternativeHypothesis Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.stat.ranking.NaNStrategy Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.stat.ranking.TiesStrategy Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.transform.DctNormalization Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.transform.DftNormalization Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.transform.DstNormalization Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.transform.TransformType Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.util.MathArrays.OrderDirection Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.util.MathArrays.Position Returns the enum constant of this type with the specified name. valueOf(String) - Static method in enum org.apache.commons.math3.util.ResizableDoubleArray.ExpansionMode Returns the enum constant of this type with the specified name. values() - Static method in enum org.apache.commons.math3.analysis.solvers.AllowedSolution Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.analysis.solvers.BaseSecantSolver.Method Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.dfp.DfpField.RoundingMode Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.exception.util.LocalizedFormats Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer.Decomposition Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.geometry.euclidean.threed.RotationConvention Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor.Order Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.geometry.partitioning.Region.Location Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.geometry.partitioning.Side Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.ml.neuralnet.SquareNeighbourhood Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D.HorizontalDirection Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.ml.neuralnet.twod.NeuronSquareMesh2D.VerticalDirection Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.ode.events.Action Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.ode.events.EventHandler.Action Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.ode.events.FilterType Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.ode.sampling.StepNormalizerBounds Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.ode.sampling.StepNormalizerMode Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.optim.linear.PivotSelectionRule Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.optim.linear.Relationship Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.optim.nonlinear.scalar.GoalType Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.optim.nonlinear.scalar.gradient.NonLinearConjugateGradientOptimizer.Formula Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.optimization.general.ConjugateGradientFormula Deprecated. Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.optimization.GoalType Deprecated. Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.optimization.linear.Relationship Deprecated. Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.stat.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy Deprecated. Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.stat.descriptive.moment.SemiVariance.Direction Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.stat.inference.AlternativeHypothesis Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.stat.ranking.NaNStrategy Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.stat.ranking.TiesStrategy Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.transform.DctNormalization Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.transform.DftNormalization Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.transform.DstNormalization Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.transform.TransformType Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.util.MathArrays.OrderDirection Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.util.MathArrays.Position Returns an array containing the constants of this enum type, in the order they are declared. values() - Static method in enum org.apache.commons.math3.util.ResizableDoubleArray.ExpansionMode Returns an array containing the constants of this enum type, in the order they are declared. ValueServer - Class in org.apache.commons.math3.random Generates values for use in simulation applications. ValueServer() - Constructor for class org.apache.commons.math3.random.ValueServer Creates new ValueServer ValueServer(RandomDataImpl) - Constructor for class org.apache.commons.math3.random.ValueServer Deprecated. use ValueServer.ValueServer(RandomGenerator) ValueServer(RandomGenerator) - Constructor for class org.apache.commons.math3.random.ValueServer Construct a ValueServer instance using a RandomGenerator as its source of random data. valuesIterator() - Method in class org.apache.commons.math3.stat.Frequency Returns an Iterator over the set of values that have been added. Variance - Class in org.apache.commons.math3.stat.descriptive.moment Computes the variance of the available values. Variance() - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance Constructs a Variance with default (true) isBiasCorrected property. Variance(SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance Constructs a Variance based on an external second moment. Variance(boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance Constructs a Variance with the specified isBiasCorrected property Variance(boolean, SecondMoment) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance Constructs a Variance with the specified isBiasCorrected property and the supplied external second moment. Variance(Variance) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.Variance Copy constructor, creates a new Variance identical to the original variance(double[]) - Static method in class org.apache.commons.math3.stat.StatUtils Returns the variance of the entries in the input array, or Double.NaN if the array is empty. variance(double[], int, int) - Static method in class org.apache.commons.math3.stat.StatUtils Returns the variance of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty. variance(double[], double, int, int) - Static method in class org.apache.commons.math3.stat.StatUtils Returns the variance of the entries in the specified portion of the input array, using the precomputed mean value. variance(double[], double) - Static method in class org.apache.commons.math3.stat.StatUtils Returns the variance of the entries in the input array, using the precomputed mean value. varianceDifference(double[], double[], double) - Static method in class org.apache.commons.math3.stat.StatUtils Returns the variance of the (signed) differences between corresponding elements of the input arrays -- i.e., var(sample1[i] - sample2[i]). vecAbsoluteTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator Allowed absolute vectorial error. vecAbsoluteTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator Allowed absolute vectorial error. vecRelativeTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeFieldIntegrator Allowed relative vectorial error. vecRelativeTolerance - Variable in class org.apache.commons.math3.ode.nonstiff.AdaptiveStepsizeIntegrator Allowed relative vectorial error. Vector<S extends Space> - Interface in org.apache.commons.math3.geometry This interface represents a generic vector in a vectorial space or a point in an affine space. VECTOR - Static variable in class org.apache.commons.math3.linear.ConjugateGradient Key for the exception context. Vector1D - Class in org.apache.commons.math3.geometry.euclidean.oned This class represents a 1D vector. Vector1D(double) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D Simple constructor. Vector1D(double, Vector1D) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D Multiplicative constructor Build a vector from another one and a scale factor. Vector1D(double, Vector1D, double, Vector1D) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D Linear constructor Build a vector from two other ones and corresponding scale factors. Vector1D(double, Vector1D, double, Vector1D, double, Vector1D) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D Linear constructor Build a vector from three other ones and corresponding scale factors. Vector1D(double, Vector1D, double, Vector1D, double, Vector1D, double, Vector1D) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1D Linear constructor Build a vector from four other ones and corresponding scale factors. Vector1DFormat - Class in org.apache.commons.math3.geometry.euclidean.oned Formats a 1D vector in components list format "{x}". Vector1DFormat() - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat Create an instance with default settings. Vector1DFormat(NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat Create an instance with a custom number format for components. Vector1DFormat(String, String) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat Create an instance with custom prefix, suffix and separator. Vector1DFormat(String, String, NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.oned.Vector1DFormat Create an instance with custom prefix, suffix, separator and format for components. Vector2D - Class in org.apache.commons.math3.geometry.euclidean.twod This class represents a 2D vector. Vector2D(double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Simple constructor. Vector2D(double[]) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Simple constructor. Vector2D(double, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Multiplicative constructor Build a vector from another one and a scale factor. Vector2D(double, Vector2D, double, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Linear constructor Build a vector from two other ones and corresponding scale factors. Vector2D(double, Vector2D, double, Vector2D, double, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Linear constructor Build a vector from three other ones and corresponding scale factors. Vector2D(double, Vector2D, double, Vector2D, double, Vector2D, double, Vector2D) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Linear constructor Build a vector from four other ones and corresponding scale factors. Vector2DFormat - Class in org.apache.commons.math3.geometry.euclidean.twod Formats a 2D vector in components list format "{x; y}". Vector2DFormat() - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat Create an instance with default settings. Vector2DFormat(NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat Create an instance with a custom number format for components. Vector2DFormat(String, String, String) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat Create an instance with custom prefix, suffix and separator. Vector2DFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.twod.Vector2DFormat Create an instance with custom prefix, suffix, separator and format for components. Vector3D - Class in org.apache.commons.math3.geometry.euclidean.threed This class implements vectors in a three-dimensional space. Vector3D(double, double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Simple constructor. Vector3D(double[]) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Simple constructor. Vector3D(double, double) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Simple constructor. Vector3D(double, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Multiplicative constructor Build a vector from another one and a scale factor. Vector3D(double, Vector3D, double, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Linear constructor Build a vector from two other ones and corresponding scale factors. Vector3D(double, Vector3D, double, Vector3D, double, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Linear constructor Build a vector from three other ones and corresponding scale factors. Vector3D(double, Vector3D, double, Vector3D, double, Vector3D, double, Vector3D) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Linear constructor Build a vector from four other ones and corresponding scale factors. Vector3DFormat - Class in org.apache.commons.math3.geometry.euclidean.threed Formats a 3D vector in components list format "{x; y; z}". Vector3DFormat() - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat Create an instance with default settings. Vector3DFormat(NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat Create an instance with a custom number format for components. Vector3DFormat(String, String, String) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat Create an instance with custom prefix, suffix and separator. Vector3DFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.geometry.euclidean.threed.Vector3DFormat Create an instance with custom prefix, suffix, separator and format for components. VectorFormat<S extends Space> - Class in org.apache.commons.math3.geometry Formats a vector in components list format "{x; y; ...}". VectorFormat() - Constructor for class org.apache.commons.math3.geometry.VectorFormat Create an instance with default settings. VectorFormat(NumberFormat) - Constructor for class org.apache.commons.math3.geometry.VectorFormat Create an instance with a custom number format for components. VectorFormat(String, String, String) - Constructor for class org.apache.commons.math3.geometry.VectorFormat Create an instance with custom prefix, suffix and separator. VectorFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math3.geometry.VectorFormat Create an instance with custom prefix, suffix, separator and format for components. VectorialCovariance - Class in org.apache.commons.math3.stat.descriptive.moment Returns the covariance matrix of the available vectors. VectorialCovariance(int, boolean) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.VectorialCovariance Constructs a VectorialCovariance. VectorialMean - Class in org.apache.commons.math3.stat.descriptive.moment Returns the arithmetic mean of the available vectors. VectorialMean(int) - Constructor for class org.apache.commons.math3.stat.descriptive.moment.VectorialMean Constructs a VectorialMean. verifyBracketing(double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver Check that the endpoints specify an interval and the function takes opposite signs at the endpoints. verifyBracketing(UnivariateFunction, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils Check that the endpoints specify an interval and the end points bracket a root. verifyInputArray(double[], double[]) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionNewtonForm Verifies that the input arrays are valid. verifyInterpolationArray(double[], double[], boolean) - Static method in class org.apache.commons.math3.analysis.polynomials.PolynomialFunctionLagrangeForm Check that the interpolation arrays are valid. verifyInterval(double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver Check that the endpoints specify an interval. verifyInterval(double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils Check that the endpoints specify an interval. verifySequence(double, double, double) - Method in class org.apache.commons.math3.analysis.solvers.BaseAbstractUnivariateSolver Check that lower < initial < upper. verifySequence(double, double, double) - Static method in class org.apache.commons.math3.analysis.solvers.UnivariateSolverUtils Check that lower < initial < upper. verifyValues(double[], int, int) - Static method in class org.apache.commons.math3.util.MathArrays This method is used to verify that the input parameters designate a subarray of positive length. verifyValues(double[], int, int, boolean) - Static method in class org.apache.commons.math3.util.MathArrays This method is used to verify that the input parameters designate a subarray of positive length. verifyValues(double[], double[], int, int) - Static method in class org.apache.commons.math3.util.MathArrays This method is used to verify that the begin and length parameters designate a subarray of positive length and the weights are all non-negative, non-NaN, finite, and not all zero. verifyValues(double[], double[], int, int, boolean) - Static method in class org.apache.commons.math3.util.MathArrays This method is used to verify that the begin and length parameters designate a subarray of positive length and the weights are all non-negative, non-NaN, finite, and not all zero. Vertex - Class in org.apache.commons.math3.geometry.spherical.twod Spherical polygons boundary vertex. visit(BSPTreeVisitor<S>) - Method in class org.apache.commons.math3.geometry.partitioning.BSPTree Visit the BSP tree nodes. visit(int, int, T) - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixChangingVisitor Visit one matrix entry. visit(int, int, T) - Method in class org.apache.commons.math3.linear.DefaultFieldMatrixPreservingVisitor Visit one matrix entry. visit(int, int, double) - Method in class org.apache.commons.math3.linear.DefaultRealMatrixChangingVisitor Visit one matrix entry. visit(int, int, double) - Method in class org.apache.commons.math3.linear.DefaultRealMatrixPreservingVisitor Visit one matrix entry. visit(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrixChangingVisitor Visit one matrix entry. visit(int, int, T) - Method in interface org.apache.commons.math3.linear.FieldMatrixPreservingVisitor Visit one matrix entry. visit(int, T) - Method in interface org.apache.commons.math3.linear.FieldVectorChangingVisitor Visit one entry of the vector. visit(int, T) - Method in interface org.apache.commons.math3.linear.FieldVectorPreservingVisitor Visit one entry of the vector. visit(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrixChangingVisitor Visit one matrix entry. visit(int, int, double) - Method in interface org.apache.commons.math3.linear.RealMatrixPreservingVisitor Visit one matrix entry. visit(int, double) - Method in interface org.apache.commons.math3.linear.RealVectorChangingVisitor Visit one entry of the vector. visit(int, double) - Method in interface org.apache.commons.math3.linear.RealVectorPreservingVisitor Visit one entry of the vector. visitInternalNode(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor Visit a BSP tree node node having a non-null sub-hyperplane. visitLeafNode(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor Visit a leaf BSP tree node node having a null sub-hyperplane. visitOrder(BSPTree<S>) - Method in interface org.apache.commons.math3.geometry.partitioning.BSPTreeVisitor Determine the visit order for this node. W walkInColumnOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Visit (and possibly change) all matrix entries in column order. walkInColumnOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Visit (but don't change) all matrix entries in column order. walkInColumnOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Visit (and possibly change) some matrix entries in column order. walkInColumnOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Visit (but don't change) some matrix entries in column order. walkInColumnOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Visit (and possibly change) all matrix entries in column order. walkInColumnOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Visit (but don't change) all matrix entries in column order. walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Visit (and possibly change) some matrix entries in column order. walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Visit (but don't change) some matrix entries in column order. walkInColumnOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix Visit (and possibly change) all matrix entries in column order. walkInColumnOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix Visit (but don't change) all matrix entries in column order. walkInColumnOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix Visit (and possibly change) some matrix entries in column order. walkInColumnOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix Visit (but don't change) some matrix entries in column order. walkInColumnOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix Visit (and possibly change) all matrix entries in column order. walkInColumnOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix Visit (but don't change) all matrix entries in column order. walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix Visit (and possibly change) some matrix entries in column order. walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix Visit (but don't change) some matrix entries in column order. walkInColumnOrder(FieldMatrixChangingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix Visit (and possibly change) all matrix entries in column order. walkInColumnOrder(FieldMatrixPreservingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix Visit (but don't change) all matrix entries in column order. walkInColumnOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix Visit (and possibly change) some matrix entries in column order. walkInColumnOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix Visit (but don't change) some matrix entries in column order. walkInColumnOrder(RealMatrixChangingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix Visit (and possibly change) all matrix entries in column order. walkInColumnOrder(RealMatrixPreservingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix Visit (but don't change) all matrix entries in column order. walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix Visit (and possibly change) some matrix entries in column order. walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix Visit (but don't change) some matrix entries in column order. walkInDefaultOrder(FieldVectorPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Visits (but does not alter) all entries of this vector in default order (increasing index). walkInDefaultOrder(FieldVectorPreservingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Visits (but does not alter) some entries of this vector in default order (increasing index). walkInDefaultOrder(FieldVectorChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Visits (and possibly alters) all entries of this vector in default order (increasing index). walkInDefaultOrder(FieldVectorChangingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Visits (and possibly alters) some entries of this vector in default order (increasing index). walkInDefaultOrder(RealVectorPreservingVisitor) - Method in class org.apache.commons.math3.linear.ArrayRealVector Visits (but does not alter) all entries of this vector in default order (increasing index). walkInDefaultOrder(RealVectorPreservingVisitor, int, int) - Method in class org.apache.commons.math3.linear.ArrayRealVector Visits (but does not alter) some entries of this vector in default order (increasing index). walkInDefaultOrder(RealVectorChangingVisitor) - Method in class org.apache.commons.math3.linear.ArrayRealVector Visits (and possibly alters) all entries of this vector in default order (increasing index). walkInDefaultOrder(RealVectorChangingVisitor, int, int) - Method in class org.apache.commons.math3.linear.ArrayRealVector Visits (and possibly alters) some entries of this vector in default order (increasing index). walkInDefaultOrder(RealVectorPreservingVisitor) - Method in class org.apache.commons.math3.linear.RealVector Visits (but does not alter) all entries of this vector in default order (increasing index). walkInDefaultOrder(RealVectorPreservingVisitor, int, int) - Method in class org.apache.commons.math3.linear.RealVector Visits (but does not alter) some entries of this vector in default order (increasing index). walkInDefaultOrder(RealVectorChangingVisitor) - Method in class org.apache.commons.math3.linear.RealVector Visits (and possibly alters) all entries of this vector in default order (increasing index). walkInDefaultOrder(RealVectorChangingVisitor, int, int) - Method in class org.apache.commons.math3.linear.RealVector Visits (and possibly alters) some entries of this vector in default order (increasing index). walkInDefaultOrder(FieldVectorPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector Visits (but does not alter) all entries of this vector in default order (increasing index). walkInDefaultOrder(FieldVectorPreservingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.SparseFieldVector Visits (but does not alter) some entries of this vector in default order (increasing index). walkInDefaultOrder(FieldVectorChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector Visits (and possibly alters) all entries of this vector in default order (increasing index). walkInDefaultOrder(FieldVectorChangingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.SparseFieldVector Visits (and possibly alters) some entries of this vector in default order (increasing index). walkInOptimizedOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Visit (and possibly change) all matrix entries using the fastest possible order. walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Visit (but don't change) all matrix entries using the fastest possible order. walkInOptimizedOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Visit (and possibly change) some matrix entries using the fastest possible order. walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Visit (but don't change) some matrix entries using the fastest possible order. walkInOptimizedOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Visit (and possibly change) all matrix entries using the fastest possible order. walkInOptimizedOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Visit (but don't change) all matrix entries using the fastest possible order. walkInOptimizedOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Visit (and possibly change) some matrix entries using the fastest possible order. walkInOptimizedOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Visit (but don't change) some matrix entries using the fastest possible order. walkInOptimizedOrder(FieldVectorPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Visits (but does not alter) all entries of this vector in optimized order. walkInOptimizedOrder(FieldVectorPreservingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Visits (but does not alter) some entries of this vector in optimized order. walkInOptimizedOrder(FieldVectorChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Visits (and possibly alters) all entries of this vector in optimized order. walkInOptimizedOrder(FieldVectorChangingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.ArrayFieldVector Visits (and possibly change) some entries of this vector in optimized order. walkInOptimizedOrder(RealVectorPreservingVisitor) - Method in class org.apache.commons.math3.linear.ArrayRealVector Visits (but does not alter) all entries of this vector in optimized order. walkInOptimizedOrder(RealVectorPreservingVisitor, int, int) - Method in class org.apache.commons.math3.linear.ArrayRealVector Visits (but does not alter) some entries of this vector in optimized order. walkInOptimizedOrder(RealVectorChangingVisitor) - Method in class org.apache.commons.math3.linear.ArrayRealVector Visits (and possibly alters) all entries of this vector in optimized order. walkInOptimizedOrder(RealVectorChangingVisitor, int, int) - Method in class org.apache.commons.math3.linear.ArrayRealVector Visits (and possibly change) some entries of this vector in optimized order. walkInOptimizedOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Visit (and possibly change) all matrix entries using the fastest possible order. walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Visit (but don't change) all matrix entries using the fastest possible order. walkInOptimizedOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Visit (and possibly change) some matrix entries using the fastest possible order. walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Visit (but don't change) some matrix entries using the fastest possible order. walkInOptimizedOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Visit (and possibly change) all matrix entries using the fastest possible order. walkInOptimizedOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Visit (but don't change) all matrix entries using the fastest possible order. walkInOptimizedOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Visit (and possibly change) some matrix entries using the fastest possible order. walkInOptimizedOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Visit (but don't change) some matrix entries using the fastest possible order. walkInOptimizedOrder(FieldMatrixChangingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix Visit (and possibly change) all matrix entries using the fastest possible order. walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix Visit (but don't change) all matrix entries using the fastest possible order. walkInOptimizedOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix Visit (and possibly change) some matrix entries using the fastest possible order. walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix Visit (but don't change) some matrix entries using the fastest possible order. walkInOptimizedOrder(RealMatrixChangingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix Visit (and possibly change) all matrix entries using the fastest possible order. walkInOptimizedOrder(RealMatrixPreservingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix Visit (but don't change) all matrix entries using the fastest possible order. walkInOptimizedOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix Visit (and possibly change) some matrix entries using the fastest possible order. walkInOptimizedOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix Visit (but don't change) some matrix entries using the fastest possible order. walkInOptimizedOrder(RealVectorPreservingVisitor) - Method in class org.apache.commons.math3.linear.RealVector Visits (but does not alter) all entries of this vector in optimized order. walkInOptimizedOrder(RealVectorPreservingVisitor, int, int) - Method in class org.apache.commons.math3.linear.RealVector Visits (but does not alter) some entries of this vector in optimized order. walkInOptimizedOrder(RealVectorChangingVisitor) - Method in class org.apache.commons.math3.linear.RealVector Visits (and possibly alters) all entries of this vector in optimized order. walkInOptimizedOrder(RealVectorChangingVisitor, int, int) - Method in class org.apache.commons.math3.linear.RealVector Visits (and possibly change) some entries of this vector in optimized order. walkInOptimizedOrder(FieldVectorPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector Visits (but does not alter) all entries of this vector in optimized order. walkInOptimizedOrder(FieldVectorPreservingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.SparseFieldVector Visits (but does not alter) some entries of this vector in optimized order. walkInOptimizedOrder(FieldVectorChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.SparseFieldVector Visits (and possibly alters) all entries of this vector in optimized order. walkInOptimizedOrder(FieldVectorChangingVisitor<T>, int, int) - Method in class org.apache.commons.math3.linear.SparseFieldVector Visits (and possibly change) some entries of this vector in optimized order. walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Visit (and possibly change) all matrix entries in row order. walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Visit (but don't change) all matrix entries in row order. walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Visit (and possibly change) some matrix entries in row order. walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractFieldMatrix Visit (but don't change) some matrix entries in row order. walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Visit (and possibly change) all matrix entries in row order. walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Visit (but don't change) all matrix entries in row order. walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Visit (and possibly change) some matrix entries in row order. walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.AbstractRealMatrix Visit (but don't change) some matrix entries in row order. walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix Visit (and possibly change) all matrix entries in row order. walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix Visit (but don't change) all matrix entries in row order. walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix Visit (and possibly change) some matrix entries in row order. walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowFieldMatrix Visit (but don't change) some matrix entries in row order. walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix Visit (and possibly change) all matrix entries in row order. walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix Visit (but don't change) all matrix entries in row order. walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix Visit (and possibly change) some matrix entries in row order. walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.Array2DRowRealMatrix Visit (but don't change) some matrix entries in row order. walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Visit (and possibly change) all matrix entries in row order. walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Visit (but don't change) all matrix entries in row order. walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Visit (and possibly change) some matrix entries in row order. walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockFieldMatrix Visit (but don't change) some matrix entries in row order. walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Visit (and possibly change) all matrix entries in row order. walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Visit (but don't change) all matrix entries in row order. walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Visit (and possibly change) some matrix entries in row order. walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math3.linear.BlockRealMatrix Visit (but don't change) some matrix entries in row order. walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix Visit (and possibly change) all matrix entries in row order. walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in interface org.apache.commons.math3.linear.FieldMatrix Visit (but don't change) all matrix entries in row order. walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix Visit (and possibly change) some matrix entries in row order. walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math3.linear.FieldMatrix Visit (but don't change) some matrix entries in row order. walkInRowOrder(RealMatrixChangingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix Visit (and possibly change) all matrix entries in row order. walkInRowOrder(RealMatrixPreservingVisitor) - Method in interface org.apache.commons.math3.linear.RealMatrix Visit (but don't change) all matrix entries in row order. walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix Visit (and possibly change) some matrix entries in row order. walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in interface org.apache.commons.math3.linear.RealMatrix Visit (but don't change) some matrix entries in row order. WeibullDistribution - Class in org.apache.commons.math3.distribution Implementation of the Weibull distribution. WeibullDistribution(double, double) - Constructor for class org.apache.commons.math3.distribution.WeibullDistribution Create a Weibull distribution with the given shape and scale and a location equal to zero. WeibullDistribution(double, double, double) - Constructor for class org.apache.commons.math3.distribution.WeibullDistribution Create a Weibull distribution with the given shape, scale and inverse cumulative probability accuracy and a location equal to zero. WeibullDistribution(RandomGenerator, double, double) - Constructor for class org.apache.commons.math3.distribution.WeibullDistribution Creates a Weibull distribution. WeibullDistribution(RandomGenerator, double, double, double) - Constructor for class org.apache.commons.math3.distribution.WeibullDistribution Creates a Weibull distribution. weight(RealMatrix) - Method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresBuilder Configure the weight matrix. Weight - Class in org.apache.commons.math3.optim.nonlinear.vector Deprecated. All classes and interfaces in this package are deprecated. The optimizers that were provided here were moved to the org.apache.commons.math3.fitting.leastsquares package (cf. MATH-1008). Weight(double[]) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.Weight Deprecated. Creates a diagonal weight matrix. Weight(RealMatrix) - Constructor for class org.apache.commons.math3.optim.nonlinear.vector.Weight Deprecated. Weight - Class in org.apache.commons.math3.optimization Deprecated. As of 3.1 (to be removed in 4.0). Weight(double[]) - Constructor for class org.apache.commons.math3.optimization.Weight Deprecated. Creates a diagonal weight matrix. Weight(RealMatrix) - Constructor for class org.apache.commons.math3.optimization.Weight Deprecated. weightDiagonal(LeastSquaresProblem, RealVector) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory Apply a diagonal weight matrix to the LeastSquaresProblem. WeightedEvaluation - Interface in org.apache.commons.math3.stat.descriptive Weighted evaluation for statistics. WeightedObservedPoint - Class in org.apache.commons.math3.fitting This class is a simple container for weighted observed point in curve fitting. WeightedObservedPoint(double, double, double) - Constructor for class org.apache.commons.math3.fitting.WeightedObservedPoint Simple constructor. WeightedObservedPoint - Class in org.apache.commons.math3.optimization.fitting Deprecated. As of 3.1 (to be removed in 4.0). WeightedObservedPoint(double, double, double) - Constructor for class org.apache.commons.math3.optimization.fitting.WeightedObservedPoint Deprecated. Simple constructor. WeightedObservedPoints - Class in org.apache.commons.math3.fitting Simple container for weighted observed points used in curve fitting algorithms. WeightedObservedPoints() - Constructor for class org.apache.commons.math3.fitting.WeightedObservedPoints weightedResidualJacobian - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer Deprecated. As of 3.1. To be removed in 4.0. Please use AbstractLeastSquaresOptimizer.computeWeightedJacobian(double[]) instead. weightedResiduals - Variable in class org.apache.commons.math3.optimization.general.AbstractLeastSquaresOptimizer Deprecated. As of 3.1. weightMatrix(LeastSquaresProblem, RealMatrix) - Static method in class org.apache.commons.math3.fitting.leastsquares.LeastSquaresFactory Apply a dense weight matrix to the LeastSquaresProblem. Well1024a - Class in org.apache.commons.math3.random This class implements the WELL1024a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto. Well1024a() - Constructor for class org.apache.commons.math3.random.Well1024a Creates a new random number generator. Well1024a(int) - Constructor for class org.apache.commons.math3.random.Well1024a Creates a new random number generator using a single int seed. Well1024a(int[]) - Constructor for class org.apache.commons.math3.random.Well1024a Creates a new random number generator using an int array seed. Well1024a(long) - Constructor for class org.apache.commons.math3.random.Well1024a Creates a new random number generator using a single long seed. Well19937a - Class in org.apache.commons.math3.random This class implements the WELL19937a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto. Well19937a() - Constructor for class org.apache.commons.math3.random.Well19937a Creates a new random number generator. Well19937a(int) - Constructor for class org.apache.commons.math3.random.Well19937a Creates a new random number generator using a single int seed. Well19937a(int[]) - Constructor for class org.apache.commons.math3.random.Well19937a Creates a new random number generator using an int array seed. Well19937a(long) - Constructor for class org.apache.commons.math3.random.Well19937a Creates a new random number generator using a single long seed. Well19937c - Class in org.apache.commons.math3.random This class implements the WELL19937c pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto. Well19937c() - Constructor for class org.apache.commons.math3.random.Well19937c Creates a new random number generator. Well19937c(int) - Constructor for class org.apache.commons.math3.random.Well19937c Creates a new random number generator using a single int seed. Well19937c(int[]) - Constructor for class org.apache.commons.math3.random.Well19937c Creates a new random number generator using an int array seed. Well19937c(long) - Constructor for class org.apache.commons.math3.random.Well19937c Creates a new random number generator using a single long seed. Well44497a - Class in org.apache.commons.math3.random This class implements the WELL44497a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto. Well44497a() - Constructor for class org.apache.commons.math3.random.Well44497a Creates a new random number generator. Well44497a(int) - Constructor for class org.apache.commons.math3.random.Well44497a Creates a new random number generator using a single int seed. Well44497a(int[]) - Constructor for class org.apache.commons.math3.random.Well44497a Creates a new random number generator using an int array seed. Well44497a(long) - Constructor for class org.apache.commons.math3.random.Well44497a Creates a new random number generator using a single long seed. Well44497b - Class in org.apache.commons.math3.random This class implements the WELL44497b pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto. Well44497b() - Constructor for class org.apache.commons.math3.random.Well44497b Creates a new random number generator. Well44497b(int) - Constructor for class org.apache.commons.math3.random.Well44497b Creates a new random number generator using a single int seed. Well44497b(int[]) - Constructor for class org.apache.commons.math3.random.Well44497b Creates a new random number generator using an int array seed. Well44497b(long) - Constructor for class org.apache.commons.math3.random.Well44497b Creates a new random number generator using a single long seed. Well512a - Class in org.apache.commons.math3.random This class implements the WELL512a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto. Well512a() - Constructor for class org.apache.commons.math3.random.Well512a Creates a new random number generator. Well512a(int) - Constructor for class org.apache.commons.math3.random.Well512a Creates a new random number generator using a single int seed. Well512a(int[]) - Constructor for class org.apache.commons.math3.random.Well512a Creates a new random number generator using an int array seed. Well512a(long) - Constructor for class org.apache.commons.math3.random.Well512a Creates a new random number generator using a single long seed. WelzlEncloser<S extends Space,P extends Point<S>> - Class in org.apache.commons.math3.geometry.enclosing Class implementing Emo Welzl algorithm to find the smallest enclosing ball in linear time. WelzlEncloser(double, SupportBallGenerator<S, P>) - Constructor for class org.apache.commons.math3.geometry.enclosing.WelzlEncloser Simple constructor. wholeHyperplane() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint Build a region covering the whole hyperplane. wholeHyperplane() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane Build a region covering the whole hyperplane. wholeHyperplane() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line Build a sub-hyperplane covering the whole hyperplane. wholeHyperplane() - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane Build a sub-hyperplane covering the whole hyperplane. wholeHyperplane() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle Build a region covering the whole hyperplane. wholeHyperplane() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle Build a sub-hyperplane covering the whole hyperplane. wholeLine() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Line Build a sub-line covering the whole line. wholeSpace() - Method in class org.apache.commons.math3.geometry.euclidean.oned.OrientedPoint Build a region covering the whole space. wholeSpace() - Method in class org.apache.commons.math3.geometry.euclidean.threed.Plane Build a region covering the whole space. wholeSpace() - Method in class org.apache.commons.math3.geometry.euclidean.twod.Line Build a region covering the whole space. wholeSpace() - Method in interface org.apache.commons.math3.geometry.partitioning.Hyperplane Build a region covering the whole space. wholeSpace() - Method in class org.apache.commons.math3.geometry.spherical.oned.LimitAngle Build a region covering the whole space. wholeSpace() - Method in class org.apache.commons.math3.geometry.spherical.twod.Circle Build a region covering the whole space. wilcoxonSignedRank(double[], double[]) - Method in class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest Computes the Wilcoxon signed ranked statistic comparing mean for two related samples or repeated measurements on a single sample. WilcoxonSignedRankTest - Class in org.apache.commons.math3.stat.inference An implementation of the Wilcoxon signed-rank test. WilcoxonSignedRankTest() - Constructor for class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest Create a test instance where NaN's are left in place and ties get the average of applicable ranks. WilcoxonSignedRankTest(NaNStrategy, TiesStrategy) - Constructor for class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest Create a test instance using the given strategies for NaN's and ties. wilcoxonSignedRankTest(double[], double[], boolean) - Method in class org.apache.commons.math3.stat.inference.WilcoxonSignedRankTest Returns the observed significance level, or p-value, associated with a Wilcoxon signed ranked statistic comparing mean for two related samples or repeated measurements on a single sample. WilsonScoreInterval - Class in org.apache.commons.math3.stat.interval Implements the Wilson score method for creating a binomial proportion confidence interval. WilsonScoreInterval() - Constructor for class org.apache.commons.math3.stat.interval.WilsonScoreInterval windowSize - Variable in class org.apache.commons.math3.stat.descriptive.DescriptiveStatistics hold the window size withCallback(IntegerSequence.Incrementor.MaxCountExceededCallback) - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor Creates a new instance with a given callback. withCostRelativeTolerance(double) - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer withDecomposition(GaussNewtonOptimizer.Decomposition) - Method in class org.apache.commons.math3.fitting.leastsquares.GaussNewtonOptimizer Configure the decomposition algorithm. withEstimationType(Percentile.EstimationType) - Method in class org.apache.commons.math3.stat.descriptive.rank.Median Build a new instance similar to the current one except for the estimation type. withEstimationType(Percentile.EstimationType) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile Build a new instance similar to the current one except for the estimation type. withIncrement(int) - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor Creates a new instance with a given increment. withInitialStepBoundFactor(double) - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer withKthSelector(KthSelector) - Method in class org.apache.commons.math3.stat.descriptive.rank.Median Build a new instance similar to the current one except for the kthSelector instance specifically set. withKthSelector(KthSelector) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile Build a new instance similar to the current one except for the kthSelector instance specifically set. withMaximalCount(int) - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor Creates a new instance with a given maximal count. withMaxIterations(int) - Method in class org.apache.commons.math3.fitting.GaussianCurveFitter Configure the maximum number of iterations. withMaxIterations(int) - Method in class org.apache.commons.math3.fitting.HarmonicCurveFitter Configure the maximum number of iterations. withMaxIterations(int) - Method in class org.apache.commons.math3.fitting.PolynomialCurveFitter Configure the maximum number of iterations. withMaxIterations(int) - Method in class org.apache.commons.math3.fitting.SimpleCurveFitter Configure the maximum number of iterations. withNaNStrategy(NaNStrategy) - Method in class org.apache.commons.math3.stat.descriptive.rank.Median Build a new instance similar to the current one except for the NaN handling strategy. withNaNStrategy(NaNStrategy) - Method in class org.apache.commons.math3.stat.descriptive.rank.Percentile Build a new instance similar to the current one except for the NaN handling strategy. withOrthoTolerance(double) - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer Modifies the given parameter. withParameterRelativeTolerance(double) - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer withRankingThreshold(double) - Method in class org.apache.commons.math3.fitting.leastsquares.LevenbergMarquardtOptimizer withStart(int) - Method in class org.apache.commons.math3.util.IntegerSequence.Incrementor Creates a new instance with a given initial value. withStartPoint(double[]) - Method in class org.apache.commons.math3.fitting.GaussianCurveFitter Configure the start point (initial guess). withStartPoint(double[]) - Method in class org.apache.commons.math3.fitting.HarmonicCurveFitter Configure the start point (initial guess). withStartPoint(double[]) - Method in class org.apache.commons.math3.fitting.PolynomialCurveFitter Configure the start point (initial guess). withStartPoint(double[]) - Method in class org.apache.commons.math3.fitting.SimpleCurveFitter Configure the start point (initial guess). wrap(IntegerSequence.Incrementor) - Static method in class org.apache.commons.math3.util.Incrementor Deprecated. Create an instance that delegates everything to a IntegerSequence.Incrementor. writeBaseExternal(ObjectOutput) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator Save the base state of the instance. writeExternal(ObjectOutput) - Method in class org.apache.commons.math3.ode.sampling.AbstractStepInterpolator writeExternal(ObjectOutput) - Method in class org.apache.commons.math3.ode.sampling.NordsieckStepInterpolator X xor(Region<S>, Region<S>) - Method in class org.apache.commons.math3.geometry.partitioning.RegionFactory Compute the symmetric difference (exclusive or) of two regions. XYX - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder Set of Euler angles. XYZ - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder Set of Cardan angles. XZX - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder Set of Euler angles. XZY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder Set of Cardan angles. Y YXY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder Set of Euler angles. YXZ - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder Set of Cardan angles. YZX - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder Set of Cardan angles. YZY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder Set of Euler angles. Z ZERO - Static variable in class org.apache.commons.math3.complex.Complex A complex number representing "0.0 + 0.0i" ZERO - Static variable in class org.apache.commons.math3.complex.Quaternion Zero quaternion. ZERO - Static variable in class org.apache.commons.math3.fraction.BigFraction A fraction representing "0". ZERO - Static variable in class org.apache.commons.math3.fraction.Fraction A fraction representing "0". ZERO - Static variable in class org.apache.commons.math3.geometry.euclidean.oned.Vector1D Origin (coordinates: 0). ZERO - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.Vector3D Null vector (coordinates: 0, 0, 0). ZERO - Static variable in class org.apache.commons.math3.geometry.euclidean.twod.Vector2D Origin (coordinates: 0, 0). ZERO - Static variable in class org.apache.commons.math3.util.BigReal A big real representing 0. ZERO - Static variable in class org.apache.commons.math3.util.Decimal64 The constant value of 0d as a Decimal64. ZeroException - Exception in org.apache.commons.math3.exception Exception to be thrown when zero is provided where it is not allowed. ZeroException() - Constructor for exception org.apache.commons.math3.exception.ZeroException Construct the exception. ZeroException(Localizable, Object...) - Constructor for exception org.apache.commons.math3.exception.ZeroException Construct the exception with a specific context. ZipfDistribution - Class in org.apache.commons.math3.distribution Implementation of the Zipf distribution. ZipfDistribution(int, double) - Constructor for class org.apache.commons.math3.distribution.ZipfDistribution Create a new Zipf distribution with the given number of elements and exponent. ZipfDistribution(RandomGenerator, int, double) - Constructor for class org.apache.commons.math3.distribution.ZipfDistribution Creates a Zipf distribution. ZXY - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder Set of Cardan angles. ZXZ - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder Set of Euler angles. ZYX - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder Set of Cardan angles. ZYZ - Static variable in class org.apache.commons.math3.geometry.euclidean.threed.RotationOrder Set of Euler angles. A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Overview Package Class Use Tree Deprecated Index Help Prev Next Frames No Frames All Classes Copyright © 2003–2016 The Apache Software Foundation. All rights reserved.